Intelligent detection data collection method, device, electronic equipment and storage medium

Abstract

The present invention provides a data collection method, device, electronic device and storage medium for intelligent detection, which relates to the fields of substation management, data processing, etc., and is applied to mobile terminals. The method includes: obtaining a data collection task; determining a data collection point and a data collection device corresponding to the data collection point based on the data collection task; performing path planning on the data collection task based on the target account corresponding to the mobile terminal to obtain a data collection path, and sending the data collection task to the corresponding data collection device; matching and storing the data collection result with the data collection point based on the data collection path; and sending the data collection result to the target platform if the network status is that the network is unobstructed. In this method, data collection and recording are realized through the interaction between the target platform, the mobile terminal and the data collection device, which reduces the labor cost, and performs different path planning according to different users, thereby improving the accuracy and efficiency of the collected data.

Description

Technical Field

[0001] The present invention relates to the technical field of substation management and data processing, and in particular to a data acquisition method, device, electronic equipment and storage medium for intelligent detection. Background Art

[0002] The safety of substations is extremely important. Electric power workers need to collect and record information about substations from time to time to ensure that all information in the substation is within a safe range.

[0003] At present, when power workers enter the station to collect substation information such as temperature, humidity, sound and other data, they need to first collect data at the data collection points, and then manually map and record the data collection points and the data, which greatly increases the labor cost. In addition, manual recording may result in recording errors, and the accuracy of the data is difficult to guarantee. In addition, when multiple data collection points are involved, if the power workers do not reasonably arrange the path for data collection, the efficiency of data collection will be greatly reduced. Summary of the invention

[0004] In view of this, an object of the present invention is to provide a data collection method, device, electronic device and storage medium for intelligent detection, so as to reduce labor costs and improve the accuracy and efficiency of collected data.

[0005] In the first aspect, an embodiment of the present invention provides a data collection method for intelligent detection, which is applied to a mobile terminal, and the mobile terminal is communicatively connected with a target platform and a data collection device. The method includes: obtaining a data collection task issued by the target platform; determining a data collection point and a data collection device corresponding to the data collection point based on the data collection task; performing path planning for the data collection task based on a target account corresponding to the mobile terminal to obtain a data collection path, and issuing the data collection task to the corresponding data collection device; obtaining a data collection result sent by the data collection device, matching the data collection result with the data collection point based on the data collection path and storing the data collection result; if the network status is that the network is unobstructed, sending the data collection result to the target platform.

[0006] In a preferred embodiment of the present invention, if the network status is that the network is unobstructed, the data collection results are sent to the target platform, and it also includes: displaying the data collection results, responding to the user's confirmation operation on the data collection results, and determining whether the network status is that the network is unobstructed; if the network status is that the network is unobstructed, the data collection results are sent to the target platform.

[0007] In a preferred embodiment of the present invention, the above-mentioned acquisition of data collection tasks issued by the target platform includes: acquiring multiple collection tasks issued by the target platform; selecting a data collection task from multiple collection tasks based on historical data collection tasks; wherein the historical data collection task is a data collection task completed by the mobile terminal before acquiring the data collection task issued by the target platform.

[0008] In a preferred embodiment of the present invention, if the above-mentioned data collection task includes multiple subtasks, after obtaining the data collection task issued by the target platform, the method also includes: determining the subtask data collection points of each of the multiple subtasks and the order of data collection for the multiple subtask data collection points; storing the multiple subtask data collection points and the order of data collection for the multiple subtask data collection points, and uploading them to the target platform when the network status is unobstructed, so that the target platform can sort the multiple subtasks when issuing the data collection task next time.

[0009] In a preferred embodiment of the present invention, the above-mentioned path planning for the data collection task based on the target account corresponding to the mobile terminal to obtain the data collection path includes: determining whether the target account has a corresponding stored historical data collection path corresponding to the data collection task; if the target account has a corresponding stored historical data collection path corresponding to the data collection task, then using the historical data collection path as the data collection path; if the target account does not have a corresponding stored historical data collection path corresponding to the data collection task, then determining a first position of the data collection point and a second position of the data collection device; performing path planning based on the first position and the second position to obtain the data collection path, and storing the data collection path in correspondence with the target account.

[0010] In a preferred embodiment of the present invention, data collection is performed using a data collection device, including: obtaining a data collection device corresponding to a data collection point in a second position according to a data collection path; and performing data collection at the data collection point using the data collection device according to the data collection path to obtain a data collection result.

[0011] In a preferred embodiment of the present invention, after sending the data collection results to the target platform if the network status is that the network is unobstructed, the method also includes: if the network status is that the network is not unobstructed, storing the data collection results, and sending the data collection results to the target platform when the network status is that the network is unobstructed.

[0012] In the second aspect, an embodiment of the present invention also provides a data acquisition device for intelligent detection, including: a mobile terminal, the mobile terminal is communicatively connected with a target platform and a data acquisition device, and the device includes: a data acquisition task acquisition module, used to acquire the data acquisition task issued by the target platform; an information determination module, used to determine the data acquisition point and the data acquisition device corresponding to the data collection point based on the data acquisition task; a path planning module, used to perform path planning for the data acquisition task based on the target account corresponding to the mobile terminal to obtain a data collection path, and issue the data collection task to the corresponding data acquisition device; a data acquisition result acquisition module, used to acquire the data collection result sent by the data acquisition device, match the data collection result with the data collection point based on the data collection path and store it; a data collection result sending module, used to send the data collection result to the target platform if the network status is that the network is unobstructed.

[0013] In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the data collection method for intelligent detection of the first aspect above.

[0014] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the data collection method for intelligent detection of the first aspect mentioned above.

[0015] The embodiments of the present invention bring the following beneficial effects:

[0016] The embodiment of the present invention provides a data collection method, device, electronic device and storage medium for intelligent detection, which are applied to mobile terminals, obtain data collection tasks issued by the target platform, determine data collection points and data collection devices corresponding to the data collection points based on the data collection tasks, plan the data collection tasks based on the target account corresponding to the mobile terminal to obtain the data collection path, and issue the data collection tasks to the corresponding data collection devices, then obtain the data collection results sent by the data collection devices, match the data collection results with the data collection points based on the data collection path and store them, and send the data collection results to the target platform when the network status is unobstructed. In this way, data collection and recording are realized through the interaction between the target platform, the mobile terminal and the data collection device, which reduces the labor cost, and different path planning is performed according to different users, which improves the accuracy and efficiency of data collection.

[0017] Other features and advantages of the present disclosure will be set forth in the following description, or some features and advantages may be inferred or unambiguously determined from the description, or may be learned by implementing the above-mentioned technology of the present disclosure.

[0018] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1a A flow chart of a data collection method for intelligent detection provided by an embodiment of the present invention;

[0021] Figure 1b A schematic diagram of a display page provided by an embodiment of the present invention;

[0022] Figure 1c An interactive diagram of data collection provided by an embodiment of the present invention;

[0023] Figure 2 A flow chart of another data collection method for intelligent detection provided by an embodiment of the present invention;

[0024] Figure 3 A schematic diagram of the structure of a data acquisition device for intelligent detection provided by an embodiment of the present invention;

[0025] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] The safety of substations is extremely important. Electric power workers need to collect and record information about substations from time to time to ensure that all information in the substation is within a safe range.

[0028] At present, when power workers enter the station to collect substation information such as temperature, humidity, sound and other data, they need to first collect data at the data collection points, and then manually map and record the data collection points and the data, which greatly increases the labor cost. In addition, manual recording may result in recording errors, and the accuracy of the data is difficult to guarantee. In addition, when multiple data collection points are involved, if the power workers do not reasonably arrange the path for data collection, the efficiency of data collection will be greatly reduced.

[0029] Based on this, an intelligent detection data collection method, device, electronic device and storage medium provided by an embodiment of the present invention are applied to a mobile terminal. The data collection task issued by the target platform can be obtained, and the data collection point and the data collection device corresponding to the data collection point can be determined based on the data collection task. The data collection path is obtained by performing path planning for the data collection task based on the target account corresponding to the mobile terminal, and the data collection task is issued to the corresponding data collection device. The data collection result sent by the data collection device is obtained, and the data collection result is matched and stored with the data collection point based on the data collection path. When the network status is that the network is unobstructed, the data collection result is sent to the target platform. In this way, data collection and recording are realized through the interaction between the target platform, the mobile terminal and the data collection device, which reduces the labor cost, and different path planning is performed according to different users, thereby improving the accuracy of the data.

[0030] To facilitate understanding of this embodiment, a data collection method for intelligent detection disclosed in an embodiment of the present invention is first introduced in detail.

[0031] Example 1

[0032] The embodiment of the present invention provides a data collection method for intelligent detection, which is applied to a mobile terminal. The mobile terminal is communicatively connected with a target platform and a data collection device. Figure 1a A flow chart of a data collection method for intelligent detection provided by an embodiment of the present invention.

[0033] like Figure 1a As shown, the data collection method of the intelligent detection may include the following steps:

[0034] Step S101, obtaining the data collection task issued by the target platform.

[0035] The target platform may be an upper-layer system for monitoring data. The target platform may automatically issue data collection tasks through mobile terminals. The data collection tasks may be completed by one power worker or by a group of power workers including multiple power workers. The mobile terminal is specifically a visual mobile terminal, which may be a mobile phone, a tablet computer, etc., and is not limited here. The mobile terminal accounts of multiple power workers in the same group are associated with each other.

[0036] Of course, it is also possible to determine whether to accept the task after determining the content of the data collection task, which is not limited here.

[0037] The data collection task may be a task of collecting substation information through data collection equipment. Substation information may include temperature, humidity, sound and other data. The corresponding data collection equipment may be a temperature sensor, a humidity sensor, a sound sensor, etc., which are not limited here. Electric power workers usually collect data at some fixed data collection points, and the data collection requirements may be different at different data collection points.

[0038] Among them, the data collection task can include only one task or multiple subtasks. When it includes one task, it usually only needs one power worker to complete it. When it includes multiple subtasks, it can be completed by one power worker or by a group of power workers.

[0039] For data collection tasks, what power workers need to do include determining data collection tasks, selecting data collection equipment, and confirming data collection results. In order to further improve the automation performance of data collection and save manpower, the target platform can take historical data collection tasks into consideration when issuing tasks. Specifically, obtaining data collection tasks issued by the target platform can include: obtaining multiple collection tasks issued by the target platform; based on historical data collection tasks, selecting data collection tasks from multiple collection tasks.

[0040] The collection task can be a task issued by the target platform for the existing data collection points. The historical data collection task is a data collection task completed by the mobile terminal before obtaining the data collection task issued by the target platform. The collection tasks included in the historical data collection task will be automatically issued to the mobile terminal of the power staff.

[0041] Among them, the power staff can set an automatic acquisition task. When it is detected that the target platform has released a collection task included in the historical data collection task, the collection task is automatically acquired. The collection task can be used as a subtask, and multiple collection tasks constitute a data collection task.

[0042] Since the target platform issues data collection tasks, multiple mobile terminals will have displays. Therefore, in order to avoid multiple different groups of power workers obtaining the same data collection task, resulting in repeated data collection and waste of manpower, after obtaining the data collection task issued by the target platform, the method can also include: synchronizing the data collection task to the target platform; the target platform stops publishing the data collection task.

[0043] Furthermore, if the issued collection task includes multiple subtasks, the efficiency of multiple power workers working together will definitely be higher. Therefore, after the data collection task has been acquired and synchronized to the target platform, if there is an associated account associated with the target account, it can be considered that the target account and the associated account are accounts of the same group of power workers. The associated account has the authority to obtain data collection tasks from the target platform, and the power workers can synchronize the progress of data collection tasks through their respective mobile terminals.

[0044] Step S102: determining data collection points and data collection devices corresponding to the data collection points based on the data collection task.

[0045] Among them, the data collection task can be displayed in the form of a page through the mobile terminal. In order to facilitate understanding, Figure 1b A schematic diagram of a task display page provided by an embodiment of the present invention.

[0046] Among them, the task display page may include at least one data collection task. Figure 1b Taking multiple data collection tasks as an example, a data collection task may include a data collection point, at least one data collection device corresponding to the data collection point, a range of data collection for the data collection point, and a time for data collection. For example, the data collection point may be a No. 1 substation; the data collection device may be an ultrasonic sensor, etc.; the range of data collection for the data collection point may be all devices in the No. 1 substation; and the time for data collection may be from 2000-01-01 09:00 to 2000-01-02 17:00.

[0047] The data collection device corresponds to the scope of data collection for the data collection point. By viewing the task, you can specifically view and query the specific equipment involved in the data collection scope and the corresponding data collection device and other information.

[0048] Step S103, performing path planning for the data collection task based on the target account corresponding to the mobile terminal to obtain a data collection path, and sending the data collection task to the corresponding data collection device.

[0049] The data collection path may include the order of data collection points and the locations of data collection devices. For example, the data collection path is: location 1 corresponding to the data collection device - location 2 corresponding to the data collection device - substation No. 1 - substation No. 2 - location 2 corresponding to the data collection device - location 1 corresponding to the data collection device.

[0050] It should be noted that the planning of the data collection path is not only based on the length of the path and the time taken, but also needs to be considered based on the actual situation between the data collection devices. For example, there may be signal interference between one data collection device and another data collection device. In this case, it is not possible to obtain the two data collection devices in succession and then go to the corresponding data collection point for data collection together.

[0051] Step S104, obtaining the data collection results sent by the data collection device, matching the data collection results with the data collection points based on the data collection path, and storing them.

[0052] Wherein, by using the data collection device to collect data at the data collection point, the data collection device can output the data collection result.

[0053] In the present application, if the data acquisition device has no communication function, the data on the data acquisition device can be photographed by a mobile terminal, and the mobile terminal matches and stores the photographed image and the data in the image with the data acquisition point.

[0054] It should be understood that, currently, when operating, the user needs to first collect data from the data collection points, and then select the corresponding data collection points, and manually perform the mapping record between the data collection points and the data.

[0055] In this application, after determining the data collection path, the user can operate the mobile terminal hands-free and only operate the data collection device. The mobile terminal will issue and collect records in sequence according to the data collection path, and the data collection results will be automatically transmitted to the target platform when there is a network.

[0056] Step S105: If the network status is that the network is unobstructed, the data collection results are sent to the target platform.

[0057] Specifically, the data collection equipment can output the data collection results to the mobile terminal. The power staff compares the results of the on-site confirmation with the data collection results in the mobile terminal. After confirming that the data collection results are the same as the results of the on-site confirmation, they agree to send the data collection results to the target platform. The mobile terminal sends the data collection results to the target platform according to the network status.

[0058] Among them, the network status can include smooth network and unsmooth network. When the network is smooth, the data collection results will be sent directly to the target platform. When the network is unsmooth, the data collection results will be first stored locally in the mobile terminal, and then sent to the target platform when the network is smooth.

[0059] Specifically, when the network status is that the network is unobstructed, sending the data collection results to the target platform may include: displaying the data collection results, responding to the user's confirmation operation on the data collection results, and determining whether the network status is that the network is unobstructed; if the network status is that the network is unobstructed, sending the data collection results to the target platform.

[0060] When the network is unobstructed, the target platform can issue data collection tasks corresponding to the data collection points according to the daily maintenance needs of the equipment. The power staff obtains the data collection tasks issued by the target platform through the mobile terminal and selects the corresponding data collection equipment for data collection. After completing the data collection, the data collection equipment reports the data collection results to the mobile terminal, which is a visual mobile terminal. The power staff can check the correctness of the data collection results displayed on the mobile terminal. When confirming the data collection results, if the network status is unobstructed, the data collection results will be automatically sent to the target platform. If the network status is not unobstructed, the data collection results will be automatically sent to the target platform when the network is unobstructed.

[0061] As an implementation method, if the data collection task includes multiple subtasks, after obtaining the data collection task issued by the target platform, the method may also include: determining the subtask data collection points of each of the multiple subtasks and the order of data collection for the multiple subtask data collection points; storing the multiple subtask data collection points and the order of data collection for the multiple subtask data collection points, and uploading them to the target platform when the network status is unobstructed, so that the target platform can sort the multiple subtasks when issuing the data collection task next time.

[0062] Among them, by determining the order of data collection for multiple sub-task data collection points, the path for power workers to confirm the data collection results can be determined. After storing the order, when the target platform issues the data collection task again, the multiple sub-tasks will be sorted and displayed in this order, which facilitates power workers to complete the data collection task.

[0063] For ease of understanding, Figure 1c An interactive diagram of data collection provided by an embodiment of the present invention, such as Figure 1cAs shown, the target platform sends the data collection task to the mobile terminal, the user receives the data collection task through the mobile terminal, determines the data collection point, data collection device, data collection path and other information according to the data collection task, and sends the data collection task to the corresponding data collection device. After the data collection is performed by the data collection device, the data collection device sends the data collection result to the mobile terminal. The mobile terminal responds to the user's confirmation operation, and when the network status is normal, sends the data collection result to the target platform, thereby completing the data collection task.

[0064] The data collection method for intelligent detection provided by the embodiment of the present invention is applied to a mobile terminal. The data collection task issued by the target platform can be obtained, and the data collection point and the data collection device corresponding to the data collection point can be determined based on the data collection task. The data collection path is obtained by performing path planning for the data collection task based on the target account corresponding to the mobile terminal, and the data collection task is issued to the corresponding data collection device. The data collection result sent by the data collection device is then obtained, and the data collection result is matched and stored with the data collection point based on the data collection path. When the network status is that the network is unobstructed, the data collection result is sent to the target platform. In this way, data collection and recording are realized through the interaction between the target platform, the mobile terminal and the data collection device, which reduces the labor cost, and different path planning is performed according to different users, thereby improving the accuracy and efficiency of the collected data.

[0065] Example 2

[0066] The embodiment of the present invention also provides another data collection method for intelligent detection; this method is implemented on the basis of the method in the above embodiment.

[0067] Figure 2 A flow chart of another data collection method for intelligent detection provided by an embodiment of the present invention, such as Figure 2 As shown, the data collection method of the intelligent detection may include the following steps:

[0068] Step S201, obtaining the data collection task issued by the target platform.

[0069] Step S202: determining data collection points and data collection devices corresponding to the data collection points based on the data collection task.

[0070] Step S203, determining whether the target account corresponding to the mobile terminal stores a historical data collection path corresponding to the data collection task.

[0071] Among them, each mobile terminal can log in to different accounts, and each account can correspond to a user. Each user may have a different office location or different collection habits. Therefore, when performing the same data collection task, the planned path will also be different. Therefore, the target account corresponding to the mobile terminal can be used as the basis for path planning.

[0072] Step S204: If the target account stores a historical data collection path corresponding to the data collection task, the historical data collection path is used as the data collection path.

[0073] When a historical data collection path corresponding to a data collection task is stored in the target account, the historical data collection path can be considered to be the most suitable path for the user corresponding to the target account, that is, the data collection path for this data collection.

[0074] Of course, even if there is a historical data collection path, the data collection path can be planned. Specifically, the data collection path can be planned based on the current location of the staff, wherein the current location can be used as the starting point of the data collection path.

[0075] Step S205: If the target account does not store a corresponding historical data collection path corresponding to the data collection task, determine the first position of the data collection point and the second position of the data collection device.

[0076] The first position includes at least one device that needs to be detected, and the second position is placed with at least one data acquisition device.

[0077] Among them, the first position of the data collection point and the second device of the data collection device can both be displayed through the display page of the mobile terminal. The corresponding position can be directly determined through the display device of the mobile terminal. The data collection path can be planned with the staff's office location as the starting point, or the staff's current location can be used as the starting point to plan the data collection path.

[0078] Step S206, performing path planning based on the first position and the second position to obtain a data collection path, and storing the data collection path in correspondence with the target account.

[0079] Among them, the first position may include at least one first sub-position, the second position may include at least one second sub-position, each first sub-position corresponds to a device that needs to be detected in a data collection point, and each second sub-position corresponds to at least one data collection device.

[0080] The data collection path represents the order in which the staff goes to at least one first sub-location and at least one second sub-location.

[0081] In the embodiments of the present application, in order to ensure safety, the data acquisition equipment is usually placed at a designated location. When performing data collection, it is necessary to obtain the data acquisition equipment at the designated location before going to the data collection point to perform data collection. In the case of multiple data acquisition devices and multiple data collection points, if the power staff fails to reasonably arrange the path for obtaining the data acquisition equipment and performing data collection, the efficiency of data collection will be greatly reduced. Therefore, the data collection path will be determined to improve the efficiency of data collection.

[0082] Step S207: acquiring a data acquisition device corresponding to the data acquisition point in the second position according to the data acquisition path.

[0083] Step S208: collecting data using data collection equipment at data collection points according to the data collection path to obtain data collection results.

[0084] Among them, when the first position includes a first sub-position and the second position includes a second sub-position, the data acquisition device corresponding to the data acquisition point can be obtained in the second sub-position. After obtaining the data acquisition device corresponding to the data acquisition point, go to the first sub-position along the data acquisition path and use the data acquisition device to collect data for the data acquisition point.

[0085] Among them, when the first position includes multiple first sub-positions and the second position includes multiple second sub-positions, you can first go to the corresponding second sub-position to obtain the corresponding data acquisition device according to the provisions in the data acquisition path, and then continue to follow up the provisions in the data acquisition path to determine to go to the first sub-position for data collection or another second sub-position to obtain the data acquisition device until the data acquisition task is completed according to the provisions in the data acquisition path.

[0086] Step S209: If the network status is that the network is unobstructed, the data collection results are sent to the target platform.

[0087] The data collection method for intelligent detection provided by the embodiment of the present invention can perform path planning for data collection tasks according to different accounts corresponding to the mobile terminal to obtain a data collection path, thereby realizing different route planning for different users and improving the efficiency of data collection, as well as realizing data collection and recording through the interaction between the target platform, the mobile terminal and the data collection device, thereby reducing labor costs and improving the accuracy and efficiency of data collection.

[0088] Example 3

[0089] Corresponding to the above method embodiment, an embodiment of the present invention provides a data acquisition device for intelligent detection, which is applied to a mobile terminal, and the mobile terminal is communicatively connected with a target platform and a data acquisition device. Figure 3A schematic diagram of a data acquisition device for intelligent detection provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown, the data acquisition device for intelligent detection may include:

[0090] The data collection task acquisition module 301 is used to obtain the data collection task issued by the target platform.

[0091] The information determination module 302 is used to determine the data collection points and the data collection devices corresponding to the data collection points based on the data collection tasks.

[0092] The path planning module 303 is used to perform path planning for the data collection task based on the target account corresponding to the mobile terminal to obtain a data collection path, and send the data collection task to the corresponding data collection device.

[0093] The data collection result acquisition module 304 is used to obtain the data collection results sent by the data collection device, match the data collection results with the data collection points based on the data collection path, and store them.

[0094] The data collection result sending module 305 is used to send the data collection result to the target platform if the network status is that the network is unobstructed.

[0095] The data collection device for intelligent detection provided by the embodiment of the present invention is applied to a mobile terminal. It can obtain the data collection task issued by the target platform, determine the data collection point and the data collection device corresponding to the data collection point based on the data collection task, plan the path of the data collection task based on the target account corresponding to the mobile terminal to obtain the data collection path, and issue the data collection task to the corresponding data collection device, and then obtain the data collection result sent by the data collection device, match the data collection result with the data collection point based on the data collection path and store it, obtain the data collection result and store it, and send the data collection result to the target platform when the network status is unobstructed. In this way, data collection and recording are realized through the interaction between the target platform, the mobile terminal and the data collection device, which reduces the labor cost, and different path planning is performed according to different users, which improves the accuracy and efficiency of data collection.

[0096] In some embodiments, the data collection result sending module is also used to display the data collection results, and in response to the user's confirmation operation on the data collection results, determine whether the network status is that the network is unobstructed; if the network status is that the network is unobstructed, send the data collection results to the target platform.

[0097] In some embodiments, the data collection task acquisition module is also used to acquire multiple collection tasks issued by the target platform; based on historical data collection tasks, a data collection task is selected from multiple collection tasks; wherein the historical data collection task is a data collection task completed by the mobile terminal before acquiring the data collection task issued by the target platform.

[0098] In some embodiments, if the data collection task includes multiple subtasks, the data collection task acquisition module is also used to determine the subtask data collection points of each of the multiple subtasks and the order of data collection for the multiple subtask data collection points; the multiple subtask data collection points and the order of data collection for the multiple subtask data collection points are stored, and uploaded to the target platform when the network status is unobstructed, so that the target platform can sort the multiple subtasks when it issues the data collection task next time.

[0099] In some embodiments, the path planning module is also used to determine whether the target account has a corresponding historical data collection path corresponding to the data collection task; if the target account has a corresponding historical data collection path corresponding to the data collection task, the historical data collection path is used as the data collection path; if the target account does not have a corresponding historical data collection path corresponding to the data collection task, the first position of the data collection point and the second position of the data collection device are determined; path planning is performed based on the first position and the second position to obtain the data collection path, and the data collection path is stored in correspondence with the target account.

[0100] In some embodiments, the data collection result acquisition module is further used to acquire a data collection device corresponding to a data collection point in a second position according to a data collection path; and to obtain a data collection result by using the data collection device at the data collection point according to the data collection path.

[0101] In some embodiments, the data collection result sending module is also used to store the data collection results if the network status is that the network is not smooth, and send the data collection results to the target platform when the network status is that the network is smooth.

[0102] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0103] Example 4

[0104] The embodiment of the present invention also provides an electronic device for executing the above-mentioned intelligent detection data collection method; see Figure 4A structural schematic diagram of an electronic device is shown, which includes a memory 400 and a processor 401, wherein the memory 400 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 401 to implement the above-mentioned intelligent detection data acquisition method.

[0105] Further, Figure 4 The electronic device shown further includes a bus 402 and a communication interface 403 , and the processor 401 , the communication interface 403 and the memory 400 are connected via the bus 402 .

[0106] The memory 400 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 402 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0107] The processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 401. The above processor 401 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 400, and the processor 401 reads the information in the memory 400 and completes the steps of the method of the above embodiment in combination with its hardware.

[0108] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned intelligent detection data acquisition method. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0109] The computer program product of the data collection method for performing intelligent detection provided in the embodiment of the present invention includes a computer-readable storage medium storing a non-volatile program code executable by a processor. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0110] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0111] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0112] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0113] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0114] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0115] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A data collection method for intelligent detection, characterized in that: Applied to a mobile terminal, the mobile terminal is communicatively connected with a target platform and a data acquisition device, and the method comprises: Obtain data collection tasks issued by the target platform; Determine data collection points and data collection devices corresponding to the data collection points based on the data collection tasks; Based on the target account corresponding to the mobile terminal, the data collection task is routed to obtain a data collection path, and the data collection task is sent to the corresponding data collection device; Acquire the data collection result sent by the data collection device, match the data collection result with the data collection point based on the data collection path, and store the data collection result; If the network status is that the network is unobstructed, the data collection result is sent to the target platform; The data collection task is a task of collecting substation information through data collection equipment, and the substation information includes one or more types of data to be collected; The data collection path is obtained based on a historical data collection path, or is obtained by path planning based on a first position of the data collection point and a second position of the data collection device; the first position includes at least one first sub-position, the second position includes at least one second sub-position, each of the first sub-positions corresponds to a device that needs to be detected in a data collection point, and each of the second sub-positions corresponds to at least one data collection device; The data collection path represents the order of going to at least one of the first sub-locations and at least one of the second sub-locations.

2. The method according to claim 1, characterized in that If the network status is that the network is unobstructed, sending the data collection result to the target platform also includes: Displaying the data collection result, and determining whether the network status is unobstructed in response to a user's confirmation operation on the data collection result; If the network status is that the network is unobstructed, the data collection result is sent to the target platform.

3. The method according to claim 1, characterized in that The step of obtaining the data collection task issued by the target platform includes: Obtain multiple collection tasks issued by the target platform; Based on the historical data collection tasks, the data collection task is selected from the multiple collection tasks; wherein the historical data collection task is a data collection task completed by the mobile terminal before obtaining the data collection task issued by the target platform.

4. The method according to claim 1, characterized in that If the data collection task includes multiple subtasks, after obtaining the data collection task issued by the target platform, the method further includes: Determining the subtask data collection points of each of the plurality of subtasks and the order in which data is collected for the plurality of subtask data collection points; The plurality of subtask data collection points and the order of data collection for the plurality of subtask data collection points are stored, and uploaded to the target platform when the network status is unobstructed, so that the target platform can sort the plurality of subtasks when issuing the data collection task next time.

5. The method according to claim 1, characterized in that The performing path planning for the data collection task based on the target account corresponding to the mobile terminal to obtain a data collection path includes: Determine whether the target account stores a historical data collection path corresponding to the data collection task; If the target account stores a historical data collection path corresponding to the data collection task, the historical data collection path is used as the data collection path; If the target account does not store a corresponding historical data collection path corresponding to the data collection task, determining a first position of the data collection point and a second position of the data collection device; A data collection path is obtained by performing path planning based on the first position and the second position, and the data collection path is stored in correspondence with the target account.

6. The method according to claim 5, characterized in that The data acquisition device is used to collect data, including: Acquire a data acquisition device corresponding to the data acquisition point in the second position according to the data acquisition path; The data acquisition result is obtained by performing data acquisition at the data acquisition point using the data acquisition device according to the data acquisition path.

7. The method according to claim 1, characterized in that If the network status is that the network is unobstructed, after sending the data collection result to the target platform, the method further includes: If the network status is that the network is not smooth, the data collection result is stored, and when the network status is that the network is smooth, the data collection result is sent to the target platform.

8. A data acquisition device for intelligent detection, characterized in that: Applied to a mobile terminal, used to implement the data collection method for intelligent detection according to any one of claims 1 to 7, the mobile terminal is communicatively connected with a target platform and a data collection device, and the device comprises: The data collection task acquisition module is used to obtain the data collection tasks issued by the target platform; An information determination module, used to determine a data collection point and a data collection device corresponding to the data collection point based on the data collection task; A path planning module, used to perform path planning for the data collection task based on the target account corresponding to the mobile terminal to obtain a data collection path, and send the data collection task to the corresponding data collection device; A data collection result acquisition module, used to acquire the data collection result sent by the data collection device, match the data collection result with the data collection point based on the data collection path and store the data collection result; The data collection result sending module is used to send the data collection result to the target platform if the network status is that the network is unobstructed.

9. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the data collection method for intelligent detection according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor, the computer-executable instructions prompt the processor to implement the data collection method for intelligent detection according to any one of claims 1 to 7.

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