Information processing system, method, and storage medium

Abstract

The application discloses an information processing system, method and storage medium. The information processing method comprises: a cooperative sensing device, which is used for receiving target object information collected by intelligent operation equipment at a current observation position and target measurement information corresponding to the target object information as environment situation information of the current observation position; a situation analysis device, which is used for extracting the target measurement information corresponding to each target object in the environment situation information, establishing a capability evaluation model for responding to an emergency situation of the target object, dividing a plurality of target objects into a plurality of target clusters according to individual response indexes of each target object, and calculating a cluster response index corresponding to the target cluster responding to the emergency situation; and an information fusion device, which is used for performing a cooperative filtering operation on the environment situation information and the correlation analysis result, obtaining target push information and sending the target push information to a user terminal.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information processing, more particularly, to an information processing system, an information processing method and a computer readable storage medium. BACKGROUND

[0002] In recent years, the manned / unmanned cooperative detection system has been more and more widely applied in search and rescue tasks due to its advantages in safety and task effectiveness. Cooperative detection refers to that the manned / unmanned system obtains situational information at the time of a sudden situation through a UAV, and then a search and rescue commander makes a decision based on the situational information, so as to avoid the influence of the past vehicles or ships on the sudden situation, and even cause serious economic loss and personnel loss.

[0003] The existing manned / unmanned cooperative detection system has the problems of high target loss rate, poor sensing redundancy, weak information correlation extraction ability, low system cooperation level and low effective information pushing efficiency, which leads to that the search and rescue commander cannot obtain the effective pushing information in time, and also cannot complete efficient decision-making according to the pushing information. SUMMARY

[0004] An object of embodiments of the present disclosure is to provide a new technical solution about an information processing system.

[0005] According to a first aspect of the present disclosure, an information processing system is provided, which is communicatively connected with a plurality of intelligent operation devices and a user terminal respectively, and comprises: a cooperative perception device configured to receive target object information collected by the intelligent operation device at a current observation position and target measurement information corresponding to the target object information as environment situation information of the current observation position; determine a next observation position of the intelligent operation device according to the environment situation information of the current observation position, and generate an observation movement track corresponding to the intelligent operation device according to the current observation position and the next observation position; and send the observation movement track to the corresponding intelligent operation device, so that the intelligent operation device adjusts the observation position according to the received observation movement track; a situation analysis device configured to receive the environment situation information of the intelligent operation device at each observation position sent by the cooperative perception device; extract the target measurement information corresponding to each target object in the environment situation information, establish a capability evaluation model for the target object to respond to an emergency situation; obtain an individual response index corresponding to each target object according to the capability evaluation model; divide a plurality of target objects into a plurality of target clusters according to the individual response index of each target object, and calculate a cluster response index corresponding to the target cluster responding to the emergency situation; generate an association analysis result corresponding to each target cluster according to the cluster response index; and an information fusion device configured to receive the environment situation information sent by the cooperative perception device and the association analysis result sent by the situation analysis device; perform a cooperative filtering operation on the environment situation information and the association analysis result to obtain target push information, and send the target push information to the user terminal.

[0006] Optionally, the information processing system further comprises: a pre-warning push device configured to input the environment situation information and the association analysis result received by the information fusion device into a preset alertness model synchronously, calculate a first alertness degree corresponding to the target object information in the environment situation information and a second alertness degree corresponding to the association analysis result of each target cluster respectively, and push the target measurement information of the target object with the first alertness degree higher than a preset threshold and the association analysis result of the target cluster with the second alertness degree higher than the preset threshold to the user terminal.

[0007] Optionally, the target measurement information comprises target object capability information and target object situation information.

[0008] Optionally, the extracting the target measurement information corresponding to each target object in the environment situation information and establishing the capability evaluation model for the target object to respond to the emergency situation comprises: establishing a capability analysis model for the target object according to the target object capability information; and establishing a situation evaluation model for the target object according to the target object situation information.

[0009] Optionally, according to the capability evaluation model, an individual coping index corresponding to each target object is obtained; and according to the individual coping index of each target object, the plurality of target objects are divided into a plurality of target clusters, including: according to the capability analysis model and the situation evaluation model, an individual capability parameter and an individual situation parameter corresponding to the target object are respectively obtained; and according to the individual capability parameter and the individual situation parameter, the plurality of target objects are divided into a plurality of target clusters; wherein the target cluster includes at least one target object.

[0010] Optionally, according to the cluster coping index, an association analysis result for the plurality of target clusters is generated, including: according to the cluster coping index, the plurality of target clusters are sorted to obtain sorting information for the plurality of target clusters; and according to the sorting information, the association analysis result for the plurality of target clusters is generated.

[0011] Optionally, the environment situation information and the association analysis result are subjected to a collaborative filtering operation to obtain target push information, including: a similarity between target measurement information corresponding to target object information in the environment situation information and preset scenario information is calculated to obtain a first similarity value corresponding to the target object information; a similarity between the association analysis result corresponding to each target cluster and the preset scenario information is calculated to obtain a second similarity value corresponding to the target cluster; and the target measurement information corresponding to the target object information with the first similarity value greater than a preset standard value, or the association analysis result with the second similarity value greater than the preset standard value is taken as the target push information.

[0012] According to a second aspect of the present disclosure, an information processing method is also provided, including: receiving target object information and target measurement information corresponding to the target object information collected by an intelligent operation device at a current observation position as environment situation information of the current observation position; determining a next observation position of the intelligent operation device according to the environment situation information of the current observation position, and generating an observation movement track corresponding to the intelligent operation device according to the current observation position and the next observation position; and sending the observation movement track to the corresponding intelligent operation device to enable the intelligent operation device to adjust the observation position according to the received observation movement track; extracting the target measurement information corresponding to each target object in the environment situation information, establishing a capability evaluation model for coping with unexpected situations of the target object; obtaining an individual coping index corresponding to each target object according to the capability evaluation model; dividing the plurality of target objects into a plurality of target clusters according to the individual coping index of each target object, and calculating a cluster coping index corresponding to the target cluster coping with unexpected situations; generating an association analysis result corresponding to each target cluster according to the cluster coping index; performing a collaborative filtering operation on the environment situation information and the association analysis result to obtain target push information, and sending the target push information to a user terminal.

[0013] According to a third aspect of the present disclosure, an information processing system is also provided, comprising at least one memory and at least one processor, the memory being configured to store a computer program; and the processor being configured to execute the computer program to implement the information processing method according to the second aspect.

[0014] According to a fourth aspect of the present disclosure, a computer readable storage medium is also provided, characterized in that a program or instructions are stored on the computer readable storage medium, and the program or instructions are executed by a processor to implement the information processing method according to the second aspect.

[0015] The information processing system provided by the embodiments of the present application receives target object information collected by the intelligent operation equipment at the current observation position and target measurement information corresponding to the target object information through the cooperative perception device, as the environmental situation information of the current observation position; extracts the target measurement information corresponding to each target object in the environmental situation information through the situation analysis device, and establishes a capability evaluation model for the target object to respond to the sudden situation; obtains an individual response index corresponding to each target object according to the capability evaluation model; divides a plurality of target objects into a plurality of target clusters according to the individual response index of each target object, and calculates a cluster response index corresponding to the target cluster responding to the sudden situation; generates a correlation analysis result corresponding to each target cluster according to the cluster response index; and performs a cooperative filtering operation on the environmental situation information and the correlation analysis result through the information fusion device to obtain target push information, and sends the target push information to the user terminal. The information processing system of the embodiments of the present application can generate a corresponding correlation analysis result according to the environmental situation information collected by the cooperative detection intelligent operation equipment, and can also filter out effective information in the environmental situation information and the correlation analysis result and push it to the search and rescue commander in time, thereby improving the efficient decision-making ability of the search and rescue commander and avoiding the loss caused by the sudden situation of the ship.

[0016] Other features of the present application, and their advantages, will become apparent in the non-limiting examples of the present application described below with reference made to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and, together with the description, serve to explain the principles of the application.

[0018] Figure 1 is a block diagram showing a hardware configuration of a manned / unmanned cooperative planning system 100 that can be used to implement embodiments of the present application;

[0019] Figure 2 is a structural schematic diagram of an information processing system 2000 according to an embodiment;

[0020] Figure 3 is a structural diagram of an information processing system 2000 according to still another embodiment;

[0021] Figure 4 is a schematic diagram of an information processing method according to still another embodiment;

[0022] Figure 5 is a structural diagram of an information processing system 7000 according to still another embodiment. DETAILED DESCRIPTION

[0023] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of the components and steps set forth in the embodiments, numerical expressions, and numerical values, unless specifically stated otherwise, do not limit the scope of the present application.

[0024] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the scope of the application and its applications or uses.

[0025] Techniques, methods, and apparatus known to those of ordinary skill in the relevant art can not be discussed in detail herein, but should be considered part of the specification, where appropriate.

[0026] In all of the examples shown and discussed herein, any specific values should be interpreted as merely illustrative and not as a limitation. Thus, other examples of the exemplary embodiments can have different values.

[0027] It should be noted that like numbers and letters refer to like items throughout the drawings, and that, once an item is defined in one drawing, it should not require further discussion in subsequent drawings.

[0028] <Implementation Environment and Hardware Configuration>

[0029] Figure 1 is a block diagram showing a hardware configuration of a manned / unmanned cooperative planning system 100 that can be used to implement embodiments of the present application.

[0030] According to Figure 1 shown, the manned / unmanned cooperative planning system 100 of the present embodiment includes an intelligent work device 1000, an information processing system 2000, and a user terminal 3000. The information processing system 2000 can be communicatively connected with the intelligent work device 1000.

[0031] Figure 1 The intelligent work device 1000 is shown in. The intelligent work device 1000 can be a drone or an unmanned land exploration vehicle, either of which can be equipped with a camera that captures live images. The type of intelligent work device is not limited herein.

[0032] In one embodiment, referring to Figure 1 As shown, the intelligent work equipment 1000 can include a processor 1100, a memory 1200, an interface device 1300, a communication device 1400, a display device 1500, an input device 1600, a speaker 1700, an image acquisition device 1800, and the like.

[0033] The processor 1100 can be a mobile version processor. The memory 1200 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), a non-volatile memory such as a hard disk, and the like. The interface device 1300 includes, for example, a USB interface, a headset interface, and the like. The communication device 1400 can perform wired or wireless communication, for example, and the communication device 1400 can include a short-range communication device, for example, any device that performs short-range wireless communication based on a Hilink protocol, a WiFi (IEEE 802.11 protocol), a Mesh, a Bluetooth, a ZigBee, a Thread, a Z-Wave, an NFC, a UWB, a LiFi, and the like, and the communication device 1400 can also include a long-range communication device, for example, any device that performs WLAN, GPRS, 2G / 3G / 4G / 5G long-range communication. The display device 1500 is, for example, a liquid crystal display, a touch display, and the like. The input device 1600 can include, for example, a touch screen, a keyboard, and the like.

[0034] It should be understood that, although Figure 1 Only one information processing system 2000, one intelligent work equipment 1000, and one user terminal 3000 are shown, but this does not mean to limit the number of each, and the human / robot collaborative planning system 100 can contain multiple intelligent work equipment 1000.

[0035] The information processing system 2000 can be a server as shown in Figure 1 The server provides a service point for processing, database, communication facilities. The server can be an integrated server or a distributed server across multiple computers or computer data centers. The server can be various types, for example, but not limited to, a web server, a news server, a mail server, a message server, an advertisement server, a file server, an application server, an interactive server, a database server, or a proxy server. In some embodiments, each server can include hardware, software, or embedded logic components for performing appropriate functions supported or implemented by the server, or a combination of two or more such components. For example, the server, such as a blade server, a cloud server, or the like, or a server group composed of multiple servers, can include one or more of the above types of servers, and the like.

[0036] In one embodiment, the information processing system 2000 can be as shown inFigure 1 As shown, the information processing system 2000 includes a processor 2100, a memory 2200, an interface device 2300, a communication device 2400, a display device 2500, an input device 2600, a speaker 2700, and a microphone 2800, etc.

[0037] In this embodiment, the information processing system 2000 can further include a speaker, a microphone, etc., which are not limited herein.

[0038] The processor 2100 can be a dedicated server processor, or a desktop processor, a mobile processor, etc. that meets the performance requirements, which are not limited herein. The memory 2200 includes, for example, a ROM (Read-Only Memory), a RAM (Random Access Memory), a nonvolatile memory such as a hard disk, etc. The interface device 2300 includes, for example, various bus interfaces, such as a serial bus interface (including a USB interface), a parallel bus interface, etc. The communication device 2400 can perform wired or wireless communication, for example. The display device 2500 is, for example, a liquid crystal display screen, an LED display screen, a touch display screen, etc. The input device 2600 can include, for example, a touch screen, a keyboard, etc.

[0039] In this embodiment, the memory 2200 of the information processing system 2000 is configured to store instructions for controlling the processor 2100 to perform operations to at least execute the information processing method according to any embodiment of the present application. The skilled person can design the instructions according to the disclosed solutions of the present application. How the instructions control the processor to perform operations is known in the art, and thus is not described in detail herein.

[0040] Although a plurality of devices of the information processing system 2000 are shown in Figure 1 , the present application can only involve part of the devices, for example, the information processing system 2000 only involves the memory 2200, the processor 2100, and the communication device 2400.

[0041] Figure 1 A user terminal 3000 is also shown in

[0042] In one embodiment, reference is made to Figure 1 As shown, the user terminal 3000 can include a processor 3100, a memory 3200, an interface device 3300, a communication device 3400, a display device 3500, an input device 3600, a speaker 3700, a microphone 3800, etc.

[0043] The processor 3100 can be a mobile version processor. The memory 3200 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), a nonvolatile memory such as a hard disk, and the like. The interface device 3300 includes, for example, a USB interface, a headphone interface, and the like. The communication device 3400 is capable of wired or wireless communication, for example, and can include a short-range communication device, such as any device that performs short-range wireless communication based on a Hilink protocol, a WiFi (IEEE 802.11 protocol), a Mesh, a Bluetooth, a ZigBee, a Thread, a Z-Wave, an NFC, a UWB, a LiFi, and the like, and can also include a long-range communication device, such as any device that performs WLAN, GPRS, 2G / 3G / 4G / 5G long-range communication. The display device 3500 is, for example, a liquid crystal display, a touch display, and the like. The input device 3600 can include, for example, a touch screen, a keyboard, and the like. A user can input / output voice information through the speaker 3700 and the microphone 3800.

[0044] The application scenario of the present application is mainly the scene of searching and rescuing vehicles or ships in emergency situations. In the present embodiment, the intelligent working device 1000 can collect environmental situation information through the image collection device 1800 and provide the collected environmental situation information to the information processing system 2000. The information processing system 2000 can implement the information processing method according to any embodiment of the present application based on the environmental situation information and transmit the processed information to the user terminal 3000 and display it on the display device 3500.

[0045] <system embodiment>

[0046] In the present embodiment, an information processing system 2000 is provided. The information processing system is in communication connection with a plurality of intelligent working devices and user terminals respectively. As shown in Figure 2 The information processing system 2000 includes a cooperative perception device 2100, a situation analysis device 2200, and an information fusion device 2300. The specific content is as follows:

[0047] In an embodiment of the present application, the cooperative perception device 2100 is configured to receive target object information collected by the intelligent working device 1000 at a current observation position and target measurement information corresponding to the target object information as environmental situation information of the current observation position.

[0048] In the embodiment, the intelligent working device 1000 can be a drone or an unmanned land exploration vehicle. The plurality of intelligent working devices 1000 can respectively detect the environment around the current observation position through the image acquisition device 1800 respectively arranged thereon. The photographing duration of the plurality of intelligent working devices 1000 for photographing the environment around the current observation position can be set in advance according to the situation, which is not limited here. The plurality of intelligent working devices 1000 can identify and extract a plurality of target object information and target measurement information corresponding to each target object information from a plurality of environment images or environment videos photographed within the preset photographing duration, and send them to the cooperative perception device 2100.

[0049] The cooperative perception device 2100 can respectively receive a plurality of target object information and target measurement information corresponding to each target object information collected by the plurality of intelligent working devices 1000 at the respective current observation positions as the environment situation information. The target object information can include the identification result of the plurality of target objects in the environment image, etc. For example, the plurality of intelligent working devices can be a plurality of drones. The plurality of drones can collect the environment situation information of the sea surface in the preset search area. The search area can be determined according to the location of the emergency event. For example, the identification result and type information of the five target objects on the sea surface can be that the five target objects include two large ships and three small ships.

[0050] In addition, the target measurement information can include type information, sailing speed, sailing direction, prediction information of future sailing trajectory, and passenger survival configuration of the target object corresponding to the target object information. For example, the plurality of intelligent working devices 1000 can identify the type of one large ship as a commercial passenger cruise ship and the type of the other four small ships as civilian fishing boats according to the high-definition images photographed by the image acquisition device 1800 on the target ship and the shape and size of the ship.

[0051] In addition, the plurality of intelligent working devices 1000 can also identify the number of lifeboats equipped on both sides of the ship, the sailing speed and direction of the cruise ship, and the prediction information of the future sailing trajectory of the cruise ship according to the high-definition images or videos photographed by the image acquisition device 1800 on the commercial passenger cruise ship. The process of identifying the target object information and the target measurement information from the collected environment pictures by the intelligent working device 1000 can be understood by those skilled in the art, which is not described here.

[0052] In an embodiment of the present application, the cooperative perception device 2100 determines the next observation position of the intelligent working device according to the environment situation information of the current observation position, and generates an observation moving track corresponding to the intelligent working device according to the current observation position and the next observation position.

[0053] In the embodiment, the cooperative perception device 2100 can generate a best observation viewpoint for detecting the unsearched area in the preset search area according to the environment situation information collected by the intelligent working device 1000 at the current observation position, and use the best observation viewpoint as the next observation position of the intelligent working device 1000. In detail, the cooperative perception device 2100 can perform cost matrix calculation on all unsearched area viewpoints in the preset search range, sort the search viewpoint priorities by using the ATSP algorithm (dynamic programming algorithm), so as to obtain a best observation viewpoint for navigation and provide a search direction. On this basis, the cooperative perception device 2100 can generate a continuous track curve connecting the current observation position and the next observation position. The cooperative perception device 2100 can also optimize the control points and time of the continuous track curve in terms of smoothness, dynamic stability, overall time and obstacle avoidance safety, and obtain an execution track for control tracking. The optimized continuous track curve can be used as the observation moving track of the intelligent working device 1000 from the current observation position to the next observation position.

[0054] In an embodiment of the present application, the cooperative perception device 2100 sends the observation moving track to the corresponding intelligent working device, so that the intelligent working device adjusts the observation position according to the received observation moving track.

[0055] In the embodiment, the cooperative perception device 2100 can be in communication connection with at least one intelligent working device. The intelligent working device can include various types of intelligent devices such as unmanned aerial vehicles or unmanned land exploration vehicles. Each intelligent working device can send the environment situation information collected at the current observation position to the cooperative perception device 2100. It should be noted that the multiple intelligent working devices can synchronously send the environment situation information collected at the current observation position to the cooperative perception device 2100, or asynchronously send the environment situation information to the cooperative perception device 2100, which is not limited herein.

[0056] The cooperative perception device 2100 can generate observation moving tracks corresponding to each intelligent operation device according to the environment situation information collected by each intelligent operation device 1000 at the respective current observation position, and send the observation moving tracks to the corresponding intelligent operation device 1000. Each intelligent operation device 1000 can receive the corresponding observation moving track sent by the cooperative perception device 2100. Each intelligent operation device 1000 can move from the current observation position to the next observation position according to the respective observation moving track, and then transmit the environment situation information collected at the next observation position to the cooperative perception device 2100, and so on, which will not be described in detail here.

[0057] In addition, it should be noted that the environment situation in the preset search area searched by the intelligent operation device 2100 is always changing, so the environment situation information collected by each intelligent operation device is time-sensitive. In this embodiment, the cooperative perception device 2100 can sum the environment situation information collected by the plurality of intelligent operation devices at their respective current observation positions within a preset time period as the environment situation information corresponding to the preset time period. Similarly, the cooperative perception device 2100 can also sum the environment situation information collected by the plurality of intelligent operation devices at their respective next observation positions within a next preset time period as the environment situation information corresponding to the next preset time period, and so on. The specific length of the preset time period can be set artificially according to actual conditions, which is not limited here.

[0058] In an embodiment of the present application, the situation analysis device 2200 is configured to receive the environment situation information of the intelligent operation device at each observation position sent by the cooperative perception device.

[0059] In this embodiment, as shown in Figure 3 After receiving the environment situation information collected by the intelligent operation device at each observation position, the cooperative perception device 2100 can send the environment situation information corresponding to each intelligent operation device at each observation position to the situation analysis device 2200. On this basis, the situation analysis device 2200 can receive the environment situation information collected by each intelligent operation device at each observation position sent by the cooperative perception device 2100.

[0060] In an embodiment of the present application, the situation analysis device 2200 extracts target measurement information corresponding to each target object in the environment situation information, and establishes a capability evaluation model for the target object to cope with the emergency situation.

[0061] In this embodiment, after receiving the environmental situation information collected by each intelligent working device at each observation position sent by the cooperative perception device 2100, the situation analysis device 2200 can extract target measurement information corresponding to each target object in the target object information from the environmental situation information. The situation analysis device 2200 can quantify and model the target measurement information corresponding to each target object to obtain a capability evaluation model for each target object to deal with a sudden situation. The sudden situation can be a sudden dangerous situation or a natural meteorological disaster that the target object may encounter. For example, the sudden dangerous situation can be a sea fire caused by a sudden fuel leakage of an oil tanker, or a situation that the target object may collide with a large obstacle during sea navigation. The natural meteorological disaster can be a natural disaster such as a strong typhoon, tsunami or tornado. In addition, it should be noted that the intelligent working device 1000 can detect the sudden situation, obtain the incident location and event information corresponding to the sudden situation and send it to the information processing system 2000. Here, the detection of the sudden situation can be completed by the intelligent working device, or can be realized by other means, which is not limited here.

[0062] In an embodiment of the present application, the target measurement information includes target object capability information and target object situation information.

[0063] In this embodiment, the target measurement information corresponding to the target object information can include target object capability information and target object situation information. The target object capability information can be the inherent attribute of the target object, which can be the type information of the target object, the size of the target object, and the passenger survival configuration information, etc. For example, the target object with the type information of a large commercial passenger cruise ship has stronger ability to cope with natural meteorological disasters than the target object with the type information of a small civilian fishing boat. In addition, the passenger survival configuration information can be the number of passenger life rafts installed on both sides of the ship body of the commercial passenger cruise ship. For two target objects with the same type information of a large commercial passenger cruise ship, the more passenger life rafts equipped on the cruise ship, the stronger the ability to cope with sudden situations.

[0064] The target object situation information can be the dynamic attribute of the target object, which can be the navigation speed, the navigation direction, and the prediction information of the future navigation trajectory of the target object. For example, the target object can be a small civilian fishing boat. The target object situation information can be the current navigation speed, the current navigation direction, and the prediction information of the future navigation trajectory of the small civilian fishing boat sailing on the sea surface.

[0065] In an embodiment of the present application, the target measurement information corresponding to each target object in the environment situation information is extracted, and a capability evaluation model for the target object to deal with the emergency situation is established, including: establishing a capability analysis model for the target object according to the capability information of the target object in the target measurement information; and establishing a situation evaluation model for the target object according to the situation information of the target object in the target measurement information.

[0066] In the embodiment, the situation analysis device 2200 can establish a capability evaluation model for the target object to deal with the emergency situation according to the target measurement information of each target object. The details are as follows:

[0067] After the target measurement information corresponding to each target object in the environment situation information is extracted, the situation analysis device 2200 can establish a capability analysis model for the target object according to the capability information of the target object in the target measurement information. In detail, after the capability information of the target object corresponding to each target object information is obtained, the situation analysis device can compare the capability information of the target object corresponding to the target object information with a preset analysis database and combine expert experience to establish the capability analysis model for the target object.

[0068] Similarly, the situation analysis device 2200 can also establish a situation evaluation model for the target object according to the situation information of the target object in the target measurement information. In detail, after the situation information of the target object corresponding to each target object information is obtained, the situation analysis device can compare the situation information of the target object corresponding to the target object information with a preset analysis database and combine expert experience to establish the situation evaluation model for the target object. That is, the capability evaluation model established by the situation analysis device 2200 can include the capability analysis model and the situation evaluation model. Here, it can be understood by those skilled in the art and will not be described in detail.

[0069] In an embodiment of the present application, the situation analysis device 2200 obtains an individual response index corresponding to each target object according to the capability evaluation model.

[0070] In the embodiment, the situation analysis device 2200 can calculate the individual response index corresponding to each target object in the environment situation information according to the established capability evaluation model.

[0071] In an embodiment of the present application, the individual response index corresponding to each target object is obtained according to the capability evaluation model, including: obtaining an individual capability parameter and an individual situation parameter corresponding to the target object according to the capability analysis model and the situation evaluation model, respectively.

[0072] In this embodiment, the situation analysis device 2200 can calculate the individual capability parameter corresponding to each target object by the modeling capability analysis model for the target object. Similarly, the situation analysis device 2200 can also calculate the individual situation parameter corresponding to each target object by the modeling situation evaluation model for the target object. That is, the individual coping index of each target object can include the individual capability parameter and the individual situation parameter.

[0073] In an embodiment of the present application, the situation analysis device 2200 divides the plurality of target objects into a plurality of target clusters according to the individual coping index of each target object, and calculates a cluster coping index corresponding to the target clusters coping with the emergency situation.

[0074] In this embodiment, after calculating the individual coping index corresponding to each target object, the situation analysis device 2200 can gradually aggregate the plurality of target objects into a plurality of target clusters, and calculate the cluster coping index corresponding to each target cluster. In detail, after dividing the plurality of target objects into a plurality of target clusters, the average of the individual coping index corresponding to the plurality of target objects in the same target cluster can be taken as the cluster coping index corresponding to the target cluster coping with the emergency situation.

[0075] In an embodiment of the present application, dividing the plurality of target objects into a plurality of target clusters according to the individual coping index of each target object includes: dividing the plurality of target objects into a plurality of target clusters according to the individual capability parameter and the individual situation parameter; wherein the target cluster includes at least one target object.

[0076] In this embodiment, the situation analysis device 2200 can gradually aggregate the plurality of target objects into a plurality of target clusters according to the high-low order of the individual capability parameter and the individual situation parameter in the individual coping index corresponding to each target object by the DBSCAN algorithm (Density-Based Spatial Clustering of Applications with Noise), and obtain the cluster coping parameter corresponding to each target cluster.

[0077] The cluster coping parameter of the target cluster can include a cluster capability parameter and a cluster situation parameter. The cluster capability parameter can be the average of the individual capability parameters corresponding to the plurality of target individuals included in each target cluster. The cluster situation parameter can be the average of the individual situation parameters corresponding to the plurality of target individuals included in each target cluster. It should be noted that the number of target objects included in each target cluster can be the same or different, which is not limited here.

[0078] Here, the cluster coping parameter corresponding to the target cluster is calculated according to the individual coping index corresponding to each target object, which can greatly reduce the number of focused targets and cognitive pressure of the search and rescue command decision maker, help the search and rescue command decision maker to understand the overall environmental situation, and improve the speed of decision-making to cope with the complex and changing situation environment.

[0079] In an embodiment of the present application, the situation analysis device 2200 generates the correlation analysis result corresponding to each target cluster according to the cluster coping index.

[0080] In the embodiment, the situation analysis device 2200 can generate the correlation analysis result corresponding to each target cluster according to the cluster coping index corresponding to each target cluster. The correlation analysis result for each target cluster can reflect the level of the target cluster's coping ability and the possibility of encountering a sudden situation.

[0081] For example, when the cluster coping index of a target cluster indicates that the target objects in the target cluster are large commercial passenger cruise ships and are equipped with sufficient passenger escape inflatable boats, the current positions of the target objects in the target cluster are far from the incident area of the sudden event, and the predicted future trajectory does not pass through the incident area of the sudden event, the generated correlation analysis result corresponding to the target cluster can be that the target cluster has strong coping ability for the sudden event, has low probability of encountering the sudden event in the future, and is less affected by the sudden event.

[0082] In an embodiment of the present application, the correlation analysis result for the plurality of target clusters is generated according to the cluster coping index, including: sorting the plurality of target clusters according to the cluster coping index to obtain sorting information for the plurality of target clusters; and generating the correlation analysis result for the plurality of target clusters according to the sorting information.

[0083] In the embodiment, the situation analysis device 2200 can sort the coping ability of each target cluster according to the cluster coping index corresponding to each target cluster by using the CRITIC algorithm (Criteria Importance Though Intercrieria Correlation, objective weighting method based on data volatility), and generate the correlation analysis result for the plurality of target clusters. Specifically, the algorithm can calculate objective weights based on the contrast and conflict between indicators. When there are many evaluation indicators, this method can objectively eliminate the influence of some indicators with strong correlation of the target objects, reduce the overlap of information, and thus obtain reasonable sorting information for the cluster coping index corresponding to each target cluster. Then, the correlation analysis result for each target cluster is generated according to the sorting information. Here, it is understood by those skilled in the art that no further description is given here.

[0084] In an embodiment of the present application, the information fusion device 2300 is configured to receive the environmental situation information sent by the cooperative perception device and the correlation analysis result sent by the situation analysis device.

[0085] In the embodiment, the cooperative perception device 2100 can send the environmental situation information to the information fusion device 2300 in real time, and the situation analysis device can send the correlation analysis result corresponding to each target cluster to the information fusion device 2300 in real time. On this basis, the information fusion device 2300 can receive the environmental situation information sent by the cooperative perception device and the correlation analysis result sent by the situation analysis device in real time.

[0086] In an embodiment of the present application, the information fusion device 2300 performs a cooperative filtering operation on the environmental situation information and the correlation analysis result to obtain target push information, and sends the target push information to the user terminal.

[0087] In the embodiment, the information fusion device 2300 performs a cooperative filtering operation on the environmental situation information and the correlation analysis result to obtain filtered target push information. On this basis, the information fusion device 2300 can send the target push information to the user terminal. In an embodiment of the present application, the user terminal 3000 can be a terminal device used by a search and rescue command decision maker. The search and rescue command decision maker can rescue or timely command the relevant ships or vehicles involved in the emergency situation according to the environmental situation information and the correlation analysis result displayed on the user terminal 3000, so as to avoid the influence of the emergency situation or the injury of personnel.

[0088] For example, when the search and rescue command decision maker knows that a plurality of civilian fishing ships may encounter a sudden sea tornado formed 10 nautical miles away according to the environmental situation information and the correlation analysis result displayed on the user terminal 3000, the captain of the plurality of civilian fishing ships can be timely informed to adjust the sailing direction or route to avoid encountering the sea tornado, thereby reducing unnecessary personnel injury.

[0089] In an embodiment of the present application, the cooperative filtering operation on the environmental situation information and the correlation analysis result to obtain the target push information comprises: calculating the similarity between the target measurement information corresponding to the target object information in the environmental situation information and the preset scenario information to obtain a first similarity value corresponding to the target object information; and calculating the similarity between the correlation analysis result corresponding to each target cluster and the preset scenario information to obtain a second similarity value corresponding to the target cluster.

[0090] In the embodiment, the information fusion device 2300 can employ a collaborative filtering technique based on the manipulation object to calculate the similarity between the target measurement information corresponding to the target object information in the environment situation information and the preset scenario information, so as to obtain the second similarity value corresponding to the target cluster. In detail, the collaborative filtering technique based on the manipulation object can employ a cosine similarity algorithm to measure the similarity, mine the similar information between the target measurement information corresponding to the target object information in the environment situation information and the preset scenario information, and calculate the similarity between the target measurement information of the target object information and the preset scenario information as the first similarity value corresponding to each target object information.

[0091] Similarly, the information fusion device 2300 can also employ the cosine similarity algorithm to mine the similar information between the correlation analysis result corresponding to each target cluster and the preset scenario information, and calculate the similarity between the correlation analysis result corresponding to each target cluster and the preset scenario information as the second similarity value corresponding to each target cluster. Here, it can be understood by those skilled in the art that no further description is made here.

[0092] In an embodiment of the present application, the collaborative filtering operation is performed on the environment situation information and the correlation analysis result to obtain the target push information, and further comprising: the target measurement information corresponding to the target object information with the first similarity value greater than a preset standard value, or the correlation analysis result with the second similarity value greater than the preset standard value as the target push information.

[0093] In the embodiment, the information fusion device 2300 can take the target measurement information corresponding to the target object information with the first similarity value greater than a preset first standard value as the target push information. In addition, the information fusion device 2300 can also take the correlation analysis result with the second similarity value greater than a preset second standard value as the target push information. It should be noted that the first standard value or the second standard value here can be pre-set according to actual conditions, which is not limited here.

[0094] In addition, the information fusion device 2300 can also employ an association collaborative filtering technique based on the recommended information to measure the similarity of the target measurement information corresponding to the plurality of target objects, and calculate the inter-information similarity between the plurality of target measurement information. In the case where one of the plurality of target measurement information is determined as the target push information and pushed to the user terminal 3000, the information fusion device 2300 can select the target measurement information with the inter-information similarity higher than a preset threshold value with the target push information from the remaining plurality of target measurement information as a new target push information, and push to the user terminal 3000.

[0095] In this way, the information fusion device 2300 does not need to calculate the first similarity value between the target measurement information of the target object information and the preset scenario information item by item, can filter out the target push information from the remaining multiple target measurement information according to the determined information inter similarity of the target push information, and push the target push information to the user terminal, which can greatly improve the filtering speed of the environmental situation information and the correlation analysis result, and facilitate the search and rescue command personnel to make decisions and deployment according to the target push information in a timely manner.

[0096] In an embodiment of the present application, as shown in Figure 3 The information processing system 2000 further includes a warning push device 2400. The warning push device 2400 can input the environmental situation information and the correlation analysis result received by the information fusion device 2300 into a preset alertness model, and calculate the first alertness corresponding to the target object information in the environmental situation information and the second alertness corresponding to the correlation analysis result of each target cluster, respectively.

[0097] In this embodiment, the information fusion device 2300 can send the received environmental situation information and correlation analysis result to the warning push device 2400. The warning push device 2400 can receive the environmental situation information and correlation analysis result sent by the information fusion device 2300, and synchronously send them to the preset alertness model. Specifically, the preset alertness model can correspond to multiple scene tasks. The warning push device 2400 can calculate the alertness probability distribution of all environmental situation information or correlation analysis result and the current scene task on the classification model. The multiple scene tasks can include different types of tasks such as evacuating the passing ships around the sea fuel leakage area and avoiding the ships on the predicted route of the sudden sea tornado. The alertness probability distribution can represent the alertness relationship between the current scene task and the environmental situation information or the correlation analysis result. Among them, the alertness probability distribution of the environmental situation information and the current scene task on the classification model can be used as the first alertness corresponding to each target object information in the environmental situation information. Similarly, the alertness probability distribution of the correlation analysis result corresponding to each target cluster and the current scene task on the classification model can be used as the second alertness corresponding to the correlation analysis result of each target cluster.

[0098] In an embodiment, the warning push device 2400 is further configured to push the target measurement information of the target object whose first alertness is higher than a preset threshold and the correlation analysis result of the target cluster whose second alertness is higher than a preset threshold to the user terminal.

[0099] In the embodiment, after obtaining the first alertness corresponding to the target object information in the environment situation information and the second alertness corresponding to the association analysis result of each target cluster, the early warning pushing device 2400 can push the target measurement information of the target object with the first alertness higher than a preset threshold to the user terminal, and can also push the association analysis result of the target cluster with the second alertness higher than a preset threshold to the user terminal 3000.

[0100] According to the information processing system provided in the embodiments of the present application, the environment situation information collected by the intelligent working device in cooperative detection can be used to generate the association analysis result corresponding to the situation information, and the effective information in the environment situation information and the association analysis result can be screened out and timely pushed to the search and rescue commander, so that the efficient decision-making ability of the search and rescue commander is greatly improved, and the loss caused by the sudden situation of the ship is avoided.

[0101] It should be noted that although several modules or units of the system for action execution are mentioned in the foregoing detailed description, such a division is not mandatory. Indeed, according to the method of implementation of the present application, the characteristics and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the characteristics and functions of one module or unit described above can be further divided into several modules or units embodied.

[0102] <Method Embodiment>

[0103] Figure 4 An information processing method according to an embodiment is shown. The information processing method can be implemented by the information processing system 2000 as shown in Figure 1 .

[0104] The information processing method includes the following steps S1100 to S1300, which are described in detail as follows:

[0105] In step S1100, the target object information and the target measurement information corresponding to the target object information collected by the intelligent working device at the current observation position are received as the environment situation information of the current observation position; the next observation position of the intelligent working device is determined according to the environment situation information of the current observation position, and the observation moving track corresponding to the intelligent working device is generated according to the current observation position and the next observation position; the observation moving track is sent to the corresponding intelligent working device, so that the intelligent working device adjusts the observation position according to the received observation moving track.

[0106] In the embodiment, the information processing system 2000 can receive multiple target object information and target measurement information corresponding to each target object information collected by multiple intelligent working devices 1000 at respective current observation positions as environment situation information.

[0107] According to the environment situation information collected by the intelligent working device 1000 at the current observation position, a best observation viewpoint for detecting the unsearched area in the preset search area is generated as the next observation position of the intelligent working device 1000. According to the current observation position and the next observation position, a continuous trajectory curve connecting the current observation position and the next observation position is generated as the observation moving trajectory of the intelligent working device 1000 from the current observation position to the next observation position.

[0108] The information processing system 2000 can send the observation moving trajectory corresponding to each intelligent working device to the corresponding intelligent working device 1000, so that each intelligent working device 1000 moves from the current observation position to the next observation position according to the observation moving trajectory.

[0109] In step S1200, target measurement information corresponding to each target object in the environment situation information is extracted, and a capability evaluation model for the target object to respond to the emergency situation is established. According to the capability evaluation model, an individual response index corresponding to each target object is obtained. According to the individual response index of each target object, the multiple target objects are divided into multiple target clusters, and a cluster response index corresponding to the target cluster responding to the emergency situation is calculated. According to the cluster response index, an association analysis result corresponding to each target cluster is generated.

[0110] In this embodiment, the information processing system 2000 can extract target measurement information corresponding to each target object in the target object information from the environment situation information, and quantize and model the target measurement information corresponding to each target object to obtain a capability evaluation model for each target object to respond to the emergency situation. According to the established capability evaluation model, an individual response index corresponding to each target object in the environment situation information is calculated. After the individual response index corresponding to each target object is calculated, the multiple target objects can be gradually aggregated and divided into multiple target clusters, and a cluster response index corresponding to each target cluster is calculated. According to the cluster response index corresponding to each target cluster, an association analysis result corresponding to each target cluster is generated.

[0111] In step S1300, a collaborative filtering operation is performed on the environment situation information and the association analysis result to obtain target push information, and the target push information is sent to the user terminal.

[0112] In this embodiment, the information processing system 2000 can perform a collaborative filtering operation on the environment situation information and the association analysis result to obtain filtered target push information. On this basis, the information processing system 2000 can send the target push information to the user terminal.

[0113] The information processing method provided in the embodiments of the present application can generate the correlation analysis result corresponding to the situation information according to the environment situation information collected by the intelligent operation equipment in cooperative detection, and can also filter out the effective information in the environment situation information and the correlation analysis result and push the effective information to the search and rescue commander in time, thereby greatly improving the efficient decision-making ability of the search and rescue commander and avoiding the loss caused by the sudden situation of the ship.

[0114] <Device embodiment>

[0115] In the embodiments, an information processing system 7000 is also provided. As shown in the figure, the information processing system 7000 can include a processor 7100 and a memory 7200, and the memory 7200 stores computer instructions, and the computer instructions are executed by the processor 7100 to perform the steps in the information processing method of any embodiment of the present application. Figure 5

[0116] <Medium embodiment>

[0117] In the embodiments, a computer readable storage medium is also provided, and the computer readable storage medium stores computer instructions, and the computer instructions are executed by the processor to implement the information processing method in any method embodiment of the present application.

[0118] The present application can be a system, a method, and / or a computer program product. The computer program product can include a computer readable storage medium having computer readable program instructions embodied therewith, wherein the computer readable program instructions are used to cause a processor to implement the various aspects of the present application.

[0119] The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium can be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanism that encodes instructions on a medium, such as a punch card or a hole in a punch card, and any suitable combination of the foregoing. The computer readable storage medium used in the present application is not to be interpreted as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission media (e.g., an optical pulse passing through a fiber-optic cable), or an electrical signal passing through a wire.

[0120] ​Computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and / or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or edge servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing / processing device.

[0121] Computer readable program instructions for carrying out operations of the present application can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computing / processing device, partly on the user's computing / processing device, as a stand-alone software package, partly on the user's computing / processing device and partly on a remote computing / processing device or entirely on the remote computing / processing device or server. In the latter scenario, the remote computing / processing device can be connected to the user's computing / processing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computing / processing device, for example, through the Internet using an Internet Service Provider. In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present application.

[0122] The computer readable program instructions can also be loaded onto a computing / processing device, other programmable data processing apparatus, or other device to cause a series of operations to be performed on the computing / processing device, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computing / processing device, other programmable apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0123] These computer readable program instructions can be provided to a processor 1100 of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor 1100 of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer readable program instructions can also be stored in a computer readable storage medium that can include a non-transitory computer readable storage medium that can be a computer program product, a memory, a memory device, a memory chip, a memory chip set, a memory cartridge, a memory stick, a memory card, an application specific integrated circuit (ASIC), a programmable logic device (PLD), a digital signal processor (DSP), a field programmable gate array (FPGA), and the like.

[0124] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0125] The flow diagrams and block diagrams in the accompanying drawings are to be understood as illustrative of the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to the present application. In this regard, each block in the flow diagrams and block diagrams can represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical functions (‘instructions’). In some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks can sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and / or flowchart illustrations, and combinations thereof, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and

[0126] Having described various embodiments of the application, it is to be understood that the above description is meant to be illustrative only and not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art, without departing from the scope and spirit of the described embodiments. The selection of terms to be used in the description is intended to best explain the principles of the embodiments, the practical application, or technical improvement over the prior art, or to enable others skilled in the art to understand the embodiments disclosed herein. The scope of the application is defined by the claims appended hereto.

Claims

1. An information processing system, characterized by comprising: The information processing system is respectively connected with a plurality of intelligent operation devices and user terminals, and comprises: A cooperative perception device is configured to receive target object information collected by the intelligent operation device at a current observation position and target measurement information corresponding to the target object information as environment situation information of the current observation position; determine a next observation position of the intelligent operation device according to the environment situation information of the current observation position, and generate an observation moving track corresponding to the intelligent operation device according to the current observation position and the next observation position; and send the observation moving track to the corresponding intelligent operation device, so that the intelligent operation device adjusts the observation position according to the received observation moving track; A situation analysis device is configured to receive the environment situation information of the intelligent operation device at each observation position sent by the cooperative perception device; extract target measurement information corresponding to each target object in the environment situation information, establish a capability evaluation model for the target object to cope with a sudden situation; obtain an individual coping index corresponding to each target object according to the capability evaluation model; divide a plurality of target objects into a plurality of target clusters according to the individual coping index of each target object, and calculate a cluster coping index corresponding to the target cluster to cope with a sudden situation; and generate a correlation analysis result corresponding to each target cluster according to the cluster coping index; An information fusion device is configured to receive the environment situation information sent by the cooperative perception device and the correlation analysis result sent by the situation analysis device; perform a cooperative filtering operation on the environment situation information and the correlation analysis result to obtain target push information, and send the target push information to the user terminal; The target measurement information includes target object capability information and target object situation information, and the target object situation information is a dynamic attribute of the target object, including a navigation speed, a navigation direction and prediction information of a future navigation track of the target object. The extraction of the target measurement information corresponding to each target object in the environment situation information and the establishment of the capability evaluation model for the target object to cope with a sudden situation include: establishing a capability analysis model for the target object according to the target object capability information; and establishing a situation evaluation model for the target object according to the target object situation information; The obtaining of the individual coping index corresponding to each target object according to the capability evaluation model and the division of the plurality of target objects into a plurality of target clusters according to the individual coping index of each target object include: obtaining an individual capability parameter and an individual situation parameter corresponding to the target object according to the capability analysis model and the situation evaluation model, respectively; dividing the plurality of target objects into a plurality of target clusters according to the individual capability parameter and the individual situation parameter; wherein the target cluster includes at least one target object.

2. The information processing system according to claim 1, characterized by, The system further comprises: The early warning pushing device is used for synchronously inputting the environmental situation information and the correlation analysis result received by the information fusion device into a preset alertness model, respectively calculating a first alertness corresponding to the target object information in the environmental situation information and a second alertness corresponding to the correlation analysis result of each target cluster, and pushing the target measurement information of the target object with the first alertness higher than a preset threshold and the correlation analysis result of the target cluster with the second alertness higher than a preset threshold to the user terminal.

3. The information processing system according to claim 1, characterized by, The correlation analysis result of the multiple target clusters is generated according to the cluster coping index, and the correlation analysis result of the multiple target clusters is generated according to the cluster coping index, including: The multiple target clusters are sorted according to the cluster coping index to obtain sorting information of the multiple target clusters. The correlation analysis result of the multiple target clusters is generated according to the sorting information.

4. The information processing system according to claim 1, characterized by, The collaborative filtering operation is performed on the environmental situation information and the correlation analysis result to obtain target pushing information, including: The similarity between the target measurement information corresponding to the target object information in the environmental situation information and preset scene information is calculated to obtain a first similarity value corresponding to the target object information, and the similarity between the correlation analysis result corresponding to each target cluster and the preset scene information is calculated to obtain a second similarity value corresponding to the target cluster. The target measurement information corresponding to the target object information with the first similarity value greater than a preset standard value or the correlation analysis result with the second similarity value greater than the preset standard value is taken as the target pushing information.

5. An information processing method characterized by comprising: The method includes: Receiving target object information and target measurement information corresponding to the target object information collected by an intelligent working device at a current observation position as environmental situation information of the current observation position, determining a next observation position of the intelligent working device according to the environmental situation information of the current observation position, and generating an observation moving track corresponding to the intelligent working device according to the current observation position and the next observation position, and sending the observation moving track to the corresponding intelligent working device to make the intelligent working device adjust the observation position according to the received observation moving track; Extracting the target measurement information corresponding to each target object in the environmental situation information to establish a capability evaluation model for coping with sudden situations of the target object, obtaining an individual coping index corresponding to each target object according to the capability evaluation model, dividing multiple target objects into multiple target clusters according to the individual coping index of each target object, and calculating a cluster coping index corresponding to the target cluster coping with sudden situations, and generating a correlation analysis result corresponding to each target cluster according to the cluster coping index; Performing a collaborative filtering operation on the environmental situation information and the correlation analysis result to obtain target pushing information, and sending the target pushing information to a user terminal; The target measurement information includes target object capability information and target object situation information, the target object situation information is a dynamic attribute of the target object, and includes a sailing speed, a sailing direction, and prediction information of a future sailing track of the target object. The target measurement information corresponding to each target object in the environment situation information is extracted, and a capability evaluation model for responding to an emergency situation of the target object is established, including: A capability analysis model for the target object is established according to the target object capability information, and a situation evaluation model for the target object is established according to the target object situation information; The individual response index corresponding to each target object is obtained according to the capability evaluation model, and the multiple target objects are divided into multiple target clusters according to the individual response index of each target object, including: The individual capability parameter and the individual situation parameter corresponding to the target object are respectively obtained according to the capability analysis model and the situation evaluation model; The multiple target objects are divided into multiple target clusters according to the individual capability parameter and the individual situation parameter, and the target cluster includes at least one target object.

6. An information processing system, comprising at least one memory and at least one processor, the memory being configured to store a computer program, and the processor being configured to execute the computer program to implement the information processing method according to claim 5.

7. A computer readable storage medium, the computer readable storage medium storing a computer program, the computer program being configured to implement the information processing method according to claim 5 when executed by a processor.

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