CN114971340A - Safe trip control method and device, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention discloses a safe trip control method and device, electronic equipment and a storage medium. Wherein, the method comprises the following steps: determining a grid risk coefficient of each candidate spatio-temporal grid; determining a grid risk factor based on an object risk factor of a reference object in contact with the candidate spatiotemporal grid; generating a target travel route of the target object according to the grid risk coefficients of the candidate space-time grids; the route risk coefficient of the target travel route is within a safety early warning range, and the route risk coefficient is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes; and controlling the travel operation of the target object according to the target travel route. According to the technical scheme, safe travel and safe leisure can be guaranteed when an emergency happens, and infection risks are reduced.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a safe trip control method and device, electronic equipment and a storage medium.
Background
In the event of a major event, in order to better manage and deal with the emergency event, various travel behaviors are usually limited, and the influence of a larger range is avoided. However, limiting the travel behavior to a certain extent may cause inconvenience, for example, due to the limitation, material shortage and incapability of normal work and life are caused, and the absence of travel limitation may cause a more serious emergency event, so it becomes important how to ensure normal occurrence safety.
Disclosure of Invention
The invention provides a safe trip control method, a safe trip control device, electronic equipment and a storage medium, which can ensure safe trip and safe leisure when an emergency occurs and reduce the infection risk.
According to an aspect of the present invention, there is provided a safe trip control method, the method including:
determining a grid risk coefficient of each candidate spatio-temporal grid; the grid risk coefficients are determined based on object risk coefficients of a reference object in contact with the candidate spatiotemporal grid;
generating a target travel route of the target object according to the grid risk coefficients of the candidate space-time grids; the route risk coefficient of the target travel route is within a safety early warning range, and the route risk coefficient is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes;
and controlling the travel operation of the target object according to the target travel route.
Optionally, determining a grid risk coefficient of each candidate spatiotemporal grid includes:
for each candidate space-time grid, determining a reference object which is in contact with the candidate space-time grid within a preset historical time period and stays for a contact time longer than a preset effective duration, and a corresponding object risk coefficient;
adjusting and updating the grid risk coefficients of the candidate space-time grid according to the object risk coefficients corresponding to the reference object;
the preset historical time period comprises historical time which is before the current time and is within a preset time range from the current time.
Optionally, adjusting and updating the grid risk coefficients of the candidate spatiotemporal grid according to the object risk coefficients corresponding to the reference object, including:
carrying out risk coefficient superposition on object risk coefficients corresponding to all reference objects in contact with the candidate space-time grid to obtain a grid risk coefficient superposition value;
and adjusting and updating the grid risk coefficients of the candidate space-time grid according to the grid risk coefficient superposition value.
Wherein the subject risk coefficient of the reference subject is dynamically adjusted by at least one of: the method comprises the steps of obtaining a grid risk coefficient of a spatio-temporal grid which is in contact with a reference object and stays for a contact time longer than a preset effective duration, and determining a time interval when the reference object is in a risk elimination state from the last time to perform a risk elimination operation.
Optionally, the adjusting and updating the grid risk coefficient of the candidate spatiotemporal grid according to the object risk coefficient corresponding to the reference object further includes:
and when the reference object is determined to execute the risk elimination operation and the reference object belongs to the risk elimination state, eliminating the overlapped object risk coefficients of the reference object from the grid risk coefficients of the candidate space-time grid.
Optionally, generating a target travel route of the target object according to the grid risk coefficients of the candidate spatiotemporal grids includes:
determining at least two target space-time grids used by a target object from each candidate space-time grid according to the grid risk coefficient information of each candidate space-time grid; the grid risk coefficient of each target space-time grid is within the corresponding safety early warning range;
and generating a target travel route of the target object according to the at least two target space-time grids.
Optionally, after generating the target travel route of the target object according to the grid risk coefficients of each candidate spatiotemporal grid, the method further includes:
if the route risk coefficient of the target trip route of the target object is detected to be no longer within the safety early warning range after a preset time period, at least partial replacement and/or elimination are carried out on at least two target space-time grids used by the target object;
and generating an updated target travel route of the target object according to the space-time grid obtained by at least partially replacing and/or removing at least two target space-time grids.
Optionally, the controlling the travel operation of the target object according to the target travel route includes:
according to the target travel route, indicating at least two target space-time grids passed by a target object along the target travel route to travel in sequence;
in the moving process of the target object, if the fact that the staying contact time of the target object in the target space-time grid is smaller than the preset effective duration and the fact that the difference value between the preset effective duration and the staying contact time is smaller than the preset difference threshold value is detected, stopping early warning reminding is conducted on the target object to indicate that the target object is far away from the target space-time grid.
Optionally, the method further includes:
in the advancing process of the target object, if the calibrated travelling object is detected to advance towards the target object to be close, risk approach early warning reminding is carried out on the target object.
According to another aspect of the present invention, there is provided a safe trip control apparatus, the apparatus comprising:
the grid determining module is used for determining grid risk coefficients of the candidate space-time grids; the grid risk coefficients are determined based on object risk coefficients of a reference object in contact with the candidate spatiotemporal grid;
the route determining module is used for generating a target travel route of the target object according to the grid risk coefficients of the candidate space-time grids; the route risk coefficient of the target travel route is within a safety early warning range, and the route risk coefficient is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes;
and the control module is used for controlling the travel operation of the target object according to the target travel route.
According to an aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of safe trip control according to any of the embodiments of the present invention.
According to an aspect of the present invention, there is provided a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are configured to enable a processor to implement the safe trip control method according to any embodiment of the present invention when executed.
In the embodiment of the invention, the grid risk coefficient of each candidate space-time grid is determined; determining a grid risk factor based on an object risk factor of a reference object in contact with the candidate spatiotemporal grid; generating a target travel route of the target object according to the grid risk coefficients of the candidate space-time grids; the route risk coefficient of the target travel route is within a safety early warning range, and the route risk coefficient is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes; the travel operation of the target object is controlled according to the target travel route, so that safe travel and safe leisure can be guaranteed when an emergency happens, and the infection risk is reduced.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a safe trip control method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a safe trip control device according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device implementing a safe trip control method according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terms "candidate," "target," "further," and "reference" and the like in the description and claims of the invention and the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a safe trip control method according to an embodiment of the present invention, where the method is applicable to a case where time-series data contents are hierarchically combined, and the method may be implemented by a safe trip control device, which may be implemented in a form of hardware and/or software, and the safe trip control device may be configured in an electronic device with data processing capability. As shown in fig. 1, the method includes:
s110, determining grid risk coefficients of each candidate space-time grid; the grid risk coefficients are determined based on object risk coefficients of a reference object in contact with the candidate spatiotemporal grid.
Under the epidemic situation environment, everybody goes out and all can face the risk of being infected, how can accomplish safe low risk trip so, establish one set of mechanism at first through big data, utilize the orbit data of traveler to mark the risk level in different places, when traveler plans the destination, just can be fine in traveler's trip route avoid high risk region and avoid contacting with high risk crowd, can obtain alarm information when you move when the personnel of high risk are close in addition.
The spatiotemporal grid can be understood as a logically abstract accounting book, records the information of people and places in each specific spatiotemporal range, can simultaneously bear a plurality of dimension attribute information, can support data classification, and can store all the categories in the same spatiotemporal grid. For example, the action trajectory and nucleic acid recording time of each person in the spatiotemporal grid within a certain time may be classified and recorded in the corresponding grid. The spatiotemporal grid may be divided in sizes of 800 meters by 800 meters. The persons in a particular spatiotemporal context may be diagnosed cases, asymptomatic infected persons, close-coupled persons, healthy persons, etc., who stay within the spatiotemporal grid for a certain time.
The grid risk factor may be a superimposed value of risk factors for the reference object within a spatio-temporal grid of a preset historical time period. The preset historical time period may be five days, seven days, nine days, or the like.
The candidate spatiotemporal mesh may be a spatiotemporal mesh that affects a reference object risk coefficient over a preset historical time period.
The reference object can be a travel object which is influenced by an emergency event to generate different influence results after the emergency event occurs.
In the technical solution of this embodiment, optionally, determining the grid risk coefficient of each candidate spatio-temporal grid includes:
for each candidate space-time grid, determining a reference object which is in contact with the candidate space-time grid within a preset historical time period and stays for a contact time longer than a preset effective duration, and a corresponding object risk coefficient;
adjusting and updating the grid risk coefficients of the candidate space-time grid according to the object risk coefficients corresponding to the reference object;
the preset historical time period comprises historical time which is before the current time and is within a preset time range from the current time.
The preset effective duration can be used for judging whether personnel appearing in the space-time grid can participate in the calculation of the risk coefficient of the corresponding space-time grid. The time interval can be set to be 10 minutes, if the time interval is more than or equal to 10 minutes, the time interval participates in the calculation of the risk coefficient of the space-time grid, and if the time interval is less than 10 minutes, the time interval does not participate in the calculation of the risk coefficient of the space-time grid.
Optionally, the number of the contact grids of the reference object may be included only if the time of the reference object in the grid reaches the preset effective time. For example, for a white-collar person who is in two-point one-line traffic, the number of grids whose stay time per day exceeds 10 minutes only needs to be calculated, namely, only two grids of a company and a house are needed, and the grids passed by other vehicles do not need to be calculated because the stay time is less than 10 minutes.
Optionally, when the reference object is in close contact with another person, the latest risk exclusion operation time of the other person is acquired, such as 24 hours, 48 hours, 72 hours, and more than 72 hours, so that the risk coefficient can be acquired. For example, for two people in the same spatio-temporal grid, and the stay time exceeds the preset effective duration, assuming that the respective risk coefficients are a and B, if the weight of 24 hours is M, the weight of 48 hours may be set to 2M, the weight of 72 hours may be set to 3M, and if more than 72 hours is set to 5M, the risk coefficients after two people in the same spatio-temporal grid contact are: a + xM B, B + yM a. M may be an empirical value, and may be, for example, 0.01, 0.1, 0.2, or the like.
Optionally, the risk coefficients of the reference objects in the space-time grid are obtained, and the adopted method may be that the risk coefficients of all the contacted corresponding space-time grids are superposed in a preset historical time period. For example, a person has A, B and C three places to pass through in the last 7 days, and his risk factor is A + B + C. Optionally, the risk coefficients of the spatio-temporal grid are obtained by superimposing the risk coefficients of all people in contact within a preset historical time period. For example, in a grid, 50 people are contacted within 7 days, and the risk factors of the 50 people are superposed. Optionally, the risk of the space-time grid is a, after a person stays in the space-time grid, the risk is added with a, or + xA, x is a weight, and the size of x is determined according to the length of the stay time; if a plurality of persons (with the risk value of B) come from the space-time grid, the A value of the space-time grid needs to be corrected, yB is added to the risk coefficient of the space-time grid, y is the stay time of the person, and when the person is detected to perform the risk elimination operation and belongs to the risk elimination state, the risk coefficient of the person is subtracted.
In the embodiment, the grid risk coefficient of each candidate space-time grid is further determined by determining the reference object risk coefficient, so that trip risks can be effectively checked.
In the technical solution of this embodiment, optionally, adjusting and updating the grid risk coefficients of the candidate spatiotemporal grid according to the object risk coefficients corresponding to the reference object includes:
carrying out risk coefficient superposition on object risk coefficients corresponding to all reference objects in contact with the candidate space-time grid to obtain a grid risk coefficient superposition value;
and adjusting and updating the grid risk coefficients of the candidate space-time grid according to the grid risk coefficient superposition value.
Wherein the subject risk coefficient of the reference subject is dynamically adjusted by at least one of: the grid risk coefficient of the space-time grid which is in contact with the reference object and stays for a contact time longer than a preset effective duration, and the time interval when the reference object is far away from the last executed risk elimination operation and is in a risk elimination state are determined.
Optionally, the reference object adds another travel space-time grid in addition to the original travel space-time grid, and then adds the newly added risk coefficient of the space-time grid to the original risk coefficient to serve as the current risk coefficient of the reference object. And if the reference object does not carry out the risk elimination operation, the risk coefficient of the reference object is continuously improved, and the risk coefficient of the previous reference object is multiplied by the weight corresponding to the risk elimination operation, so that a new risk coefficient of the reference object is obtained.
For example, the reference object now has only two grids, namely, a company grid and a house grid, 0.8 and 0.6, respectively, and the current risk factor of the reference object is 1.4, and when the reference object goes to a supermarket for shopping, the risk factor of the supermarket is 1.0, the reference object is added with a grid 1.0, the risk factor is 2.4, and the reference object is multiplied by 1.2 when no nucleic acid is made in each past day, and the risk factor is 2.4 x 1.2 after three days.
Optionally, when it is determined that the reference object performs a risk elimination operation and it is determined that the reference object belongs to a risk elimination state, the object risk coefficients of the superimposed reference object are removed from the grid risk coefficients of the candidate spatiotemporal grid.
Optionally, the reference object is subjected to a risk elimination operation, the risk coefficient of the reference object may be reduced to a certain value, and the reference object is eliminated after the reference object is determined to be in a risk elimination state. For example, if the reference object is negative after being processed several times, it can be determined that the reference object belongs to the risk elimination state, and the risk coefficient is reduced to zero, so that the risk coefficient of the reference object can be eliminated.
In the embodiment, the grid risk coefficients of the candidate space-time grid are adjusted and updated according to the object risk coefficients corresponding to the reference object, so that the grid risk coefficients are timely adjusted, and the public trip is safer.
S120, generating a target travel route of the target object according to the grid risk coefficients of the candidate space-time grids; the route risk coefficient of the target travel route is within the safety early warning range, and the route risk coefficient is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes.
Wherein the target object may be a person who has performed the risk elimination operation and is outside the risk elimination state. The safety precaution range may be the maximum range that the risk factor may reach. For example, the safety precaution range may be between 0 and 40. The target travel route may be a route formed by connecting at least two grids selected from the determined spatiotemporal grids in sequence or according to the determined spatiotemporal grids.
On the basis of the above technical solutions, optionally, generating a target travel route of the target object according to the grid risk coefficient of each candidate spatio-temporal grid, includes:
determining at least two target space-time grids used by a target object from each candidate space-time grid according to the grid risk coefficient information of each candidate space-time grid; the grid risk coefficient of each target space-time grid is within the corresponding safety early warning range;
and generating a target travel route of the target object according to the at least two target space-time grids.
Optionally, after generating the target travel route of the target object according to the grid risk coefficients of each candidate spatiotemporal grid, the method further includes:
if the route risk coefficient of the target trip route of the target object is detected to be no longer within the safety early warning range after a preset time period, at least partial replacement and/or elimination are carried out on at least two target space-time grids used by the target object;
and generating an updated target travel route of the target object according to the space-time grid obtained by at least partially replacing and/or removing at least two target space-time grids. In an example, an initially planned target travel route is a- > B- > C- > D- > E, another travel mesh is newly added between C and D in the travel process of a target object, and after analysis, it is found that the risk of the target travel route exceeds the early warning range, a high risk place is avoided and the risk of infection is reduced by reducing route nodes of the target travel route, such as changing into a- > B- > C- > E, or increasing new route nodes, such as changing into a- > D-K- > E.
According to the technical scheme, the target travel route of the target object is generated according to the grid risk coefficients of the candidate space-time grids, whether the risk division coefficient of the target route exceeds the safety early warning range or not is judged in a safety early warning mode, the target travel route is updated rapidly, safe travel is achieved, and the infection risk is reduced.
And S130, controlling the travel operation of the target object according to the target travel route.
On the basis of the above technical solutions, optionally, controlling the travel operation of the target object according to the target travel route includes:
according to the target travel route, indicating at least two target space-time grids passed by a target object along the target travel route to travel in sequence;
in the moving process of the target object, if the fact that the staying contact time of the target object in the target space-time grid is smaller than the preset effective duration and the fact that the difference value between the preset effective duration and the staying contact time is smaller than the preset difference threshold value is detected, stopping early warning reminding is conducted on the target object to indicate that the target object is far away from the target space-time grid.
Optionally, in the moving process of the target object, if it is detected that the calibrated travel object moves towards the target object and approaches, risk approach early warning reminding is performed on the target object.
The preset difference threshold may be used to determine whether the target object is about to deviate from the target travel route, and may be set to 0.5 minute or 1 minute. For example, the preset difference threshold is set to be 1 minute, and the preset effective duration is 10 minutes; when the stay contact time of the target object is 9.5 minutes, the difference value between the preset effective time and the stay contact time is 0.5 minute and less than 1 minute, the target object is about to deviate from the target trip route, and early warning reminding should be given immediately.
According to the technical scheme, the risk condition of the target object is prompted through early warning according to the determined target travel route, so that the target object can be adjusted in time, safe travel of the target object is facilitated, and the infection risk is reduced.
In the embodiment of the invention, the grid risk coefficient of each candidate space-time grid is determined; determining a grid risk factor based on an object risk factor of a reference object in contact with the candidate spatiotemporal grid; generating a target travel route of the target object according to the grid risk coefficient of each candidate space-time grid; the route risk coefficient of the target travel route is within a safety early warning range, and the route risk coefficient is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes; the travel operation of the target object is controlled according to the target travel route, so that safe travel and safe leisure can be guaranteed when an emergency happens, and the infection risk is reduced.
Example two
Fig. 2 is a schematic structural diagram of a safe trip control device according to a second embodiment of the present invention, where the device is capable of executing a safe trip control method according to any embodiment of the present invention, and has corresponding functional modules and beneficial effects of the execution method. As shown in fig. 2, the apparatus includes:
a grid determination module 210 for determining grid risk coefficients for each candidate spatio-temporal grid; the grid risk coefficients are determined based on object risk coefficients of a reference object in contact with the candidate spatiotemporal grid;
a route determining module 220, configured to generate a target travel route of the target object according to the grid risk coefficients of the candidate spatio-temporal grids; the route risk coefficient of the target travel route is within a safety early warning range and is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes;
and a control module 230, configured to control a travel operation of the target object according to the target travel route.
Optionally, the grid determining module is specifically configured to:
for each candidate space-time grid, determining a reference object which is in contact with the candidate space-time grid within a preset historical time period and stays for a contact time longer than a preset effective duration, and a corresponding object risk coefficient;
adjusting and updating the grid risk coefficients of the candidate space-time grid according to the object risk coefficients corresponding to the reference object;
the preset historical time period comprises historical time which is before the current time and is within a preset time range from the current time.
Optionally, the grid determining module further includes: a grid adjustment unit to:
adjusting and updating the grid risk coefficient of the candidate space-time grid according to the object risk coefficient corresponding to the reference object, comprising the following steps:
carrying out risk coefficient superposition on object risk coefficients corresponding to all reference objects in contact with the candidate space-time grid to obtain a grid risk coefficient superposition value;
and adjusting and updating the grid risk coefficients of the candidate space-time grid according to the grid risk coefficient superposition value.
Wherein the subject risk factor of the reference subject is dynamically adjusted by at least one of: the method comprises the steps of obtaining a grid risk coefficient of a spatio-temporal grid which is in contact with a reference object and stays for a contact time longer than a preset effective duration, and determining a time interval when the reference object is in a risk elimination state from the last time to perform a risk elimination operation.
Optionally, when it is determined that the reference object performs a risk elimination operation and it is determined that the reference object belongs to a risk elimination state, the object risk coefficients of the superimposed reference object are removed from the grid risk coefficients of the candidate spatiotemporal grid.
Optionally, the route determining module is specifically configured to:
determining at least two target space-time grids used by a target object from each candidate space-time grid according to the grid risk coefficient information of each candidate space-time grid; the grid risk coefficient of each target space-time grid is within the corresponding safety early warning range;
and generating a target travel route of the target object according to the at least two target space-time grids.
Optionally, the route determining module further includes: a route update unit for:
if the route risk coefficient of the target trip route of the target object is detected to be no longer within the safety early warning range after a preset time period, at least partial replacement and/or elimination are carried out on at least two target space-time grids used by the target object;
and generating an updated target travel route of the target object according to the space-time grid obtained by at least partially replacing and/or removing at least two target space-time grids.
Optionally, the control module is specifically configured to:
indicating at least two target space-time grids, through which the target object passes along the target travel route, to travel in sequence according to the target travel route;
in the moving process of the target object, if the fact that the staying contact time of the target object in the target space-time grid is smaller than the preset effective duration and the fact that the difference value between the preset effective duration and the staying contact time is smaller than the preset difference threshold value is detected, stopping early warning reminding is conducted on the target object to indicate that the target object is far away from the target space-time grid.
Optionally, the control module further includes an early warning unit, configured to:
in the advancing process of the target object, if the calibrated travelling object is detected to advance towards the target object to be close, risk approach early warning reminding is carried out on the target object.
The safe trip control device provided by the embodiment of the invention can execute the safe trip control method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device implementing a safe trip control method according to an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above.
In some embodiments, the data processing for safety trip control may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more of the steps of the above described safety trip control may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the safe trip control by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, 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), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. A safe trip control method, the method comprising:
determining a grid risk coefficient of each candidate spatio-temporal grid; determining a grid risk factor based on an object risk factor of a reference object in contact with the candidate spatiotemporal grid;
generating a target travel route of the target object according to the grid risk coefficients of the candidate space-time grids; the route risk coefficient of the target travel route is within a safety early warning range, and the route risk coefficient is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes;
and controlling the travel operation of the target object according to the target travel route.
2. The method of claim 1, wherein determining a grid risk factor for each candidate spatiotemporal grid comprises:
for each candidate space-time grid, determining a reference object which is in contact with the candidate space-time grid within a preset historical time period and stays for a contact time longer than a preset effective duration, and a corresponding object risk coefficient;
adjusting and updating the grid risk coefficient of the candidate space-time grid according to the object risk coefficient corresponding to the reference object;
the preset historical time period comprises historical time which is before the current time and is within a preset time range from the current time.
3. The method of claim 2, wherein the adaptively updating the grid risk coefficients of the candidate spatiotemporal grid according to the object risk coefficients corresponding to the reference object comprises:
carrying out risk coefficient superposition on object risk coefficients corresponding to all reference objects in contact with the candidate space-time grid to obtain a grid risk coefficient superposition value;
and adjusting and updating the grid risk coefficients of the candidate space-time grid according to the grid risk coefficient superposition value.
4. A method according to any of claims 1-3, wherein the subject risk factor of the reference subject is dynamically adjusted by at least one of: the method comprises the steps of obtaining a grid risk coefficient of a spatio-temporal grid which is in contact with a reference object and stays for a contact time longer than a preset effective duration, and determining a time interval when the reference object is in a risk elimination state from the last time to perform a risk elimination operation.
5. The method of claim 3, wherein the adapting and updating the grid risk coefficients of the candidate spatiotemporal grid according to the object risk coefficients corresponding to the reference object further comprises:
and when the reference object is determined to execute the risk elimination operation and the reference object belongs to the risk elimination state, eliminating the overlapped object risk coefficients of the reference object from the grid risk coefficients of the candidate space-time grid.
6. The method of claim 1, wherein generating a target travel route for the target object based on the grid risk coefficients of each candidate spatiotemporal grid comprises:
determining at least two target space-time grids used by a target object from each candidate space-time grid according to the grid risk coefficient information of each candidate space-time grid; the grid risk coefficient of each target space-time grid is within the corresponding safety early warning range;
and generating a target travel route of the target object according to the at least two target space-time grids.
7. The method according to claim 1 or 6, further comprising, after generating a target travel route for the target object according to the grid risk coefficients of the respective candidate spatiotemporal grids:
if the route risk coefficient of the target trip route of the target object is detected to be no longer within the safety early warning range after a preset time period, at least partial replacement and/or elimination are carried out on at least two target space-time grids used by the target object;
and generating an updated target travel route of the target object according to the space-time grid obtained by at least partially replacing and/or removing at least two target space-time grids.
8. The method of claim 1, wherein controlling the travel operation of the target subject in accordance with the target travel route comprises:
according to the target travel route, indicating at least two target space-time grids passed by a target object along the target travel route to travel in sequence;
in the moving process of the target object, if the fact that the staying contact time of the target object in the target space-time grid is smaller than the preset effective duration and the fact that the difference value between the preset effective duration and the staying contact time is smaller than the preset difference threshold value is detected, stopping early warning reminding is conducted on the target object to indicate that the target object is far away from the target space-time grid.
9. The method of claim 8, further comprising:
in the moving process of the target object, if the fact that the calibrated travel object moves close to the target object is detected, risk approaching early warning reminding is conducted on the target object.
10. A safety trip control apparatus, characterised in that the apparatus comprises:
the grid determining module is used for determining grid risk coefficients of the candidate space-time grids; determining a grid risk factor based on an object risk factor of a reference object in contact with the candidate spatiotemporal grid;
the route determining module is used for generating a target travel route of the target object according to the grid risk coefficients of the candidate space-time grids; the route risk coefficient of the target travel route is within a safety early warning range and is determined based on the grid risk coefficients of at least two target space-time grids through which the target travel route passes;
and the control module is used for controlling the travel operation of the target object according to the target travel route.
11. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the safe trip control method of any one of claims 1-9.
12. A computer-readable storage medium storing computer instructions for causing a processor to implement the safe trip control method according to any one of claims 1-9 when executed.
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