A method and device for intelligently collecting evidence objects

Abstract

The present invention discloses a method and device for intelligently collecting evidence objects. When it is detected that a user has suspected illegal electricity usage behavior, the method obtains the location of a smart meter used to collect the user's electricity usage data and the user type of the user; according to the location of the smart meter and the user type of the user, all electric energy collection nodes that can collect the user's electricity usage data except the smart meter are determined; the user's electricity usage data collected by the smart meter within a certain time period is obtained, and based on each electric energy collection node, a collection operation is performed on the user's electricity usage data within a certain time period to obtain the electricity usage data corresponding to each electric energy collection node; according to the obtained electricity usage data corresponding to the smart meter and the electricity usage data collected by all electric energy collection nodes, the evidence object of the user's illegal electricity usage is collected, and accurate and efficient collection of electricity usage behavior is achieved, thereby accurately and effectively monitoring the illegal electricity usage behavior.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power monitoring, and in particular to a method and device for intelligently collecting evidence objects. Background Art

[0002] In recent years, with the advancement of science and technology and changes in the energy environment, the construction of the power system has entered a new stage. The application of new technologies such as smart grids, renewable energy, and energy Internet has gradually become the development direction. There are also some behaviors that damage electricity use (such as illegal electricity use by users), which wastes electricity resources and creates safety hazards for electricity use. Therefore, it is necessary to accurately collect illegal electricity use behaviors of users.

[0003] At present, the commonly used method for collecting illegal electricity usage is for the power department to arrange staff to regularly inspect power facilities and users to check whether there is any illegal electricity usage, such as unauthorized power connection, tampering with electricity meters, etc., or to collect users' electricity usage data through electricity meters. When abnormal electricity usage is found, such as a sudden and substantial increase in electricity consumption, staff are sent to check on-site, so as to achieve the purpose of collecting users' illegal electricity usage. However, practice has found that whether it is collected through manual regular inspections or when there is abnormal electricity usage, personnel are arranged to check on-site for collection, the collection efficiency and accuracy are low. Therefore, it is particularly important to propose a technical solution for accurately and efficiently collecting electricity usage behaviors, so as to accurately and effectively monitor illegal electricity usage behaviors. Summary of the invention

[0004] The present invention provides a method and device for intelligently collecting evidence objects, which can accurately and efficiently collect electricity usage behaviors, thereby accurately and effectively monitoring illegal electricity usage behaviors.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a method for intelligently collecting evidence objects, which is applied to a power monitoring system and includes:

[0006] When a user is detected to have suspected illegal electricity usage, the location of the smart meter used to collect electricity usage data of the user and the user type of the user are obtained;

[0007] According to the location of the smart meter and the user type of the certain user, determine all electric energy collection nodes other than the smart meter that can collect the electric energy consumption data of the certain user;

[0008] Acquire the electricity consumption data of the certain user collected by the smart meter within a certain time period, and perform a collection operation on the electricity consumption data of the certain user within the certain time period based on each of the electric energy collection nodes to obtain the electricity consumption data corresponding to each of the electric energy collection nodes;

[0009] According to the acquired electricity usage data corresponding to the smart meter and the electricity usage data collected by all the electric energy collection nodes, evidence objects of illegal electricity usage by the user are collected.

[0010] As an optional implementation manner, in the first aspect of the present invention, collecting the evidence object of illegal electricity use of the user according to the acquired electricity consumption data corresponding to the smart meter and the electricity consumption data collected by all the electric energy collection nodes includes:

[0011] Determine the electricity cost list within the certain time period according to the acquired electricity consumption data corresponding to the smart meter, and collect the image data corresponding to the smart meter within the certain time period;

[0012] The electricity bill, the image data and the electricity data collected by all the power collection nodes are used as evidence of illegal electricity use by the user;

[0013] The image data corresponding to the smart meter within the certain time period includes the image data of the components of the smart energy meter within the certain time period and the regional image data of the location of the smart meter within the certain time period.

[0014] As an optional implementation, in the first aspect of the present invention, all of the electric energy collection nodes include all of the electric devices of the unit where the certain user is located and the user terminal of the certain user, and the user terminal is in communication connection with each of the electric devices of the unit where the certain user is located, and is used to collect the electric data of each of the electric devices and transmit the electric data to the electric power monitoring system, and receive the electric data sent by each of the electric devices and transmit the electric data to the electric power monitoring system. As an optional implementation, in the first aspect of the present invention, the method further includes:

[0015] For the same electric device, comparing the electric consumption data collected by the electric device with the electric consumption data of the user device collected by the user terminal to obtain a comparison result of the electric consumption data corresponding to the electric device;

[0016] Comparing the power consumption data collected by the smart meter with the power consumption data of all the power-consuming devices collected by the user terminal to obtain a first comparison result;

[0017] Comparing the power consumption data collected by the smart meter with the power consumption data received by the user terminal from all the power-consuming devices to obtain a second comparison result;

[0018] Analyze the first comparison result and the second comparison result to obtain a third comparison result;

[0019] The power consumption data comparison results corresponding to all the power-consuming devices, the first comparison result, the second comparison result and the third comparison result are updated to the evidence object of illegal power consumption by the certain user.

[0020] As an optional implementation, in the first aspect of the present invention, the electricity consumption data is composed of a plurality of sub-electricity consumption data, and all of the sub-electricity consumption data include the electricity consumption, current, voltage, and power in the certain time period. Before collecting the evidence object of illegal electricity use of the certain user based on the acquired electricity consumption data corresponding to the smart meter and the electricity consumption data collected by all the electric energy collection nodes, the method further includes:

[0021] For any of the sub-power consumption data, calculate the data sum of the sub-power consumption data collected by each of the power consumption devices among all the power consumption devices, and calculate the difference between the sub-power consumption data collected by the smart meter and the data sum of the sub-power consumption data collected by all the power consumption devices;

[0022] Determining a first probability of the suspected illegal electricity usage behavior according to differences corresponding to all the sub-electricity usage data;

[0023] Determine whether the first probability is greater than or equal to a preset probability threshold. When the judgment result is yes, trigger the execution of the operation of collecting the evidence object of illegal electricity usage of the user based on the electricity usage data corresponding to the acquired smart meter and the electricity usage data collected by all the electricity collection nodes.

[0024] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0025] For any of the sub-power consumption data, generating a corresponding curve graph according to the sub-power consumption data collected by each of the power-consuming devices;

[0026] Performing a superposition operation on the curve graph corresponding to each of the electric devices to obtain a first curve graph, and generating a corresponding second curve graph according to the sub-electricity consumption data collected by the smart meter;

[0027] For any of the sub-power consumption data, analyzing a first curve graph corresponding to the sub-power consumption data and a second curve graph corresponding to the sub-power consumption data to obtain a curve graph analysis result of the sub-power consumption data;

[0028] The determining of the first probability of the suspected illegal electricity usage behavior according to the differences corresponding to all the sub-electricity usage data includes:

[0029] Determine a first probability of the suspected illegal electricity usage behavior according to the difference values ​​corresponding to all the sub-electricity usage data and the curve graph analysis results corresponding to all the sub-electricity usage data;

[0030] The method further comprises:

[0031] When it is determined that the first probability is greater than or equal to a preset probability threshold, the differences between the first curve graph, the second curve graph and all the sub-power usage data are updated to the evidence object of the illegal power usage behavior of the certain user.

[0032] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0033] When it is determined that the first probability is less than the preset probability threshold, a device confirmation prompt is generated according to the device identifications of all devices of the certain user stored in advance, and the device confirmation prompt is fed back to the user terminal of the certain user, wherein the device confirmation prompt includes the device identifications of all the stored electrical devices and is used for the user terminal to output to the certain user to confirm whether there is a new device in the unit of the certain user;

[0034] When receiving target feedback from the user terminal for the device confirmation prompt and the target feedback is used to indicate that a target device has been newly added to the unit where the certain user is located and the target feedback includes a device identifier of the target device, establishing a communication connection with the target device according to the device identifier of the target device, and acquiring the power consumption data collected by the target device;

[0035] Calculating the data sum of the sub-power consumption data collected by each device in a device group, wherein the device group includes all the target devices and all the power consumption devices;

[0036] Based on the difference corresponding to each of the sub-electricity usage data, the second probability of the suspected illegal electricity usage behavior is determined, and it is judged whether the second probability is greater than or equal to a preset probability threshold. When the judgment result is yes, it is triggered to execute the operation of collecting the evidence object of illegal electricity usage of the user based on the electricity usage data corresponding to the acquired smart meter and the electricity usage data collected by all the electric energy collection nodes.

[0037] A second aspect of the present invention discloses a device for intelligently collecting evidence objects, the device is applied to a power monitoring system, and the device comprises:

[0038] An acquisition module, for acquiring the location of a smart meter used to collect electricity usage data of a certain user and the user type of the certain user when a user is detected to have suspected illegal electricity usage behavior;

[0039] A determination module, configured to determine, according to the location of the smart meter and the user type of the certain user, all electric energy collection nodes other than the smart meter that can collect the electric energy consumption data of the certain user;

[0040] The acquisition module is further used to acquire the electricity consumption data of the certain user collected by the smart meter within a certain time period;

[0041] A collection module, used to perform a collection operation on the power consumption data of the certain user within the certain time period based on each of the power collection nodes, and obtain the power consumption data corresponding to each of the power collection nodes;

[0042] The acquisition module is further used to collect evidence objects of illegal electricity usage by the user based on the acquired electricity usage data corresponding to the smart meter and the electricity usage data collected by all the electric energy acquisition nodes.

[0043] As an optional implementation, in the second aspect of the present invention, the specific manner in which the acquisition module acquires the evidence object of illegal electricity use of the user according to the acquired electricity consumption data corresponding to the smart meter and the electricity consumption data acquired by all the electric energy acquisition nodes includes:

[0044] Determine the electricity cost list within the certain time period according to the acquired electricity consumption data corresponding to the smart meter, and collect the image data corresponding to the smart meter within the certain time period;

[0045] The electricity bill, the image data and the electricity data collected by all the power collection nodes are used as evidence of illegal electricity use by the user;

[0046] The image data corresponding to the smart meter within the certain time period includes the image data of the components of the smart energy meter within the certain time period and the regional image data of the location of the smart meter within the certain time period.

[0047] As an optional embodiment, in the second aspect of the present invention, all of the electric energy collection nodes include all of the electric energy devices of the unit where the certain user is located and the user terminal of the certain user, and the user terminal is communicatively connected to each of the electric energy devices of the unit where the certain user is located, and is used to collect the electric energy data of each of the electric energy devices and transmit the electric energy data to the electric energy monitoring system, and to receive the electric energy data sent by each of the electric energy devices and transmit the electric energy data to the electric energy monitoring system.

[0048] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0049] A comparison module, configured to compare the power consumption data collected by the power consumption device with the power consumption data of the user device collected by the user terminal for the same power consumption device, and obtain a comparison result of the power consumption data corresponding to the power consumption device;

[0050] The comparison module is further configured to compare the power consumption data collected by the smart meter with the power consumption data of all the power-consuming devices collected by the user terminal to obtain a first comparison result;

[0051] The comparison module is further configured to compare the power consumption data collected by the smart meter with the power consumption data received by the user terminal from all the power-consuming devices to obtain a second comparison result;

[0052] an analysis module, configured to analyze the first comparison result and the second comparison result to obtain a third comparison result;

[0053] An updating module is used to update the power consumption data comparison results corresponding to all the power-consuming devices, the first comparison result, the second comparison result and the third comparison result to the evidence object of illegal power consumption by the certain user.

[0054] As an optional implementation, in the second aspect of the present invention, the power consumption data is composed of a plurality of sub-power consumption data, and all of the sub-power consumption data include power consumption, current, voltage, and power in the certain time period, and the device further includes:

[0055] a calculation module, configured to calculate the sum of the sub-power consumption data collected by each of the power-consuming devices, and calculate the difference between the sum of the sub-power consumption data collected by the smart meter and the sub-power consumption data collected by all the power-consuming devices, for any of the sub-power consumption data, before the collection module collects the evidence object of the illegal power consumption of the user based on the power consumption data corresponding to the acquired smart meter and the power consumption data collected by all the power collection nodes;

[0056] The determination module is further configured to determine a first probability of the suspected illegal electricity usage behavior according to differences corresponding to all the sub-electricity usage data;

[0057] A judgment module is used to judge whether the first probability is greater than or equal to a preset probability threshold. When the judgment result is yes, the collection module is triggered to execute the operation of collecting the evidence object of illegal electricity use of the user based on the electricity consumption data corresponding to the smart meter obtained and the electricity consumption data collected by all the electricity collection nodes.

[0058] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0059] A generating module, configured to generate a corresponding curve graph for any of the sub-power consumption data according to the sub-power consumption data collected by each of the power-consuming devices;

[0060] A superposition module, used for performing a superposition operation on the curve graph corresponding to each of the electrical devices to obtain a first curve graph;

[0061] The generating module is further used to generate a corresponding second curve graph according to the sub-power consumption data collected by the smart meter;

[0062] The determination module is further configured to analyze, for any of the sub-power consumption data, a first curve graph corresponding to the sub-power consumption data and a second curve graph corresponding to the sub-power consumption data to obtain a curve graph analysis result of the sub-power consumption data;

[0063] The specific manner in which the determination module determines the first probability of the suspected illegal electricity usage behavior according to the differences corresponding to all the sub-electricity usage data includes:

[0064] Determine a first probability of the suspected illegal electricity usage behavior according to the difference values ​​corresponding to all the sub-electricity usage data and the curve graph analysis results corresponding to all the sub-electricity usage data;

[0065] The determination module is further configured to update the difference between the first curve graph, the second curve graph and all the sub-power usage data to the evidence object of the illegal power usage behavior of the certain user when it is determined that the first probability is greater than or equal to a preset probability threshold.

[0066] As an optional implementation, in the second aspect of the present invention, the generating module is further configured to generate a device confirmation prompt according to the device identifications of all devices of the certain user stored in advance when it is determined that the first probability is less than the preset probability threshold;

[0067] The determination module is further used to feed back the device confirmation prompt to the user terminal of the certain user, wherein the device confirmation prompt includes the device identifications of all the stored electrical devices and is used for the user terminal to output to the certain user to confirm whether the unit of the certain user has added new equipment;

[0068] The device also includes:

[0069] an establishing module, configured to establish a communication connection with the target device according to the device identification of the target device, and obtain the power consumption data collected by the target device, when receiving a target feedback from the user terminal for the device confirmation prompt and the target feedback is used to indicate that a target device has been newly added to the unit where the certain user is located and the target feedback includes a device identification of the target device;

[0070] The calculation module is further used to calculate the sum of the sub-power consumption data collected by each device in the device group, and the device group includes all the target devices and all the power consumption devices;

[0071] The determination module is further used to determine a second probability of the suspected illegal electricity usage behavior according to the difference corresponding to each of the sub-electricity usage data;

[0072] The judgment module is also used to judge whether the second probability is greater than or equal to a preset probability threshold. When the judgment result is yes, the collection module is triggered to execute the operation of collecting the evidence object of illegal electricity use of the user based on the electricity consumption data corresponding to the acquired smart meter and the electricity consumption data collected by all the electricity collection nodes.

[0073] A third aspect of the present invention discloses a power monitoring system, which is used to execute part or all of the steps in any one of the methods for intelligently collecting evidence objects disclosed in the first aspect of the present invention.

[0074] A fourth aspect of the present invention discloses another device for intelligently collecting evidence objects, the device comprising:

[0075] A memory storing executable program code;

[0076] a processor coupled to the memory;

[0077] The processor calls the executable program code stored in the memory to execute part or all of the steps in any one of the methods for intelligently collecting evidence objects disclosed in the first aspect of the present invention.

[0078] The fifth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute part or all of the steps in any method for intelligently collecting evidence objects disclosed in the first aspect of the present invention.

[0079] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0080] In an embodiment of the present invention, when it is detected that a certain user has suspected illegal electricity usage, the location of the smart meter used to collect electricity usage data of the certain user and the user type of the certain user are obtained; according to the location of the smart meter and the user type of the certain user, all electric energy collection nodes other than the smart meter that can collect the electricity usage data of the certain user are determined; the electricity usage data of the certain user collected by the smart meter within a certain time period are obtained, and based on each electric energy collection node, a collection operation is performed on the electricity usage data of the certain user within a certain time period to obtain the electricity usage data corresponding to each electric energy collection node; according to the obtained electricity usage data corresponding to the smart meter and the electricity usage data collected by all electric energy collection nodes, evidence objects of illegal electricity usage of the certain user are collected to achieve accurate and efficient collection of electricity usage behaviors, thereby accurately and effectively monitoring illegal electricity usage behaviors. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0082] Figure 1 It is a flowchart of a method for intelligently collecting evidence objects disclosed in an embodiment of the present invention;

[0083] Figure 2 It is a flowchart of another method for intelligently collecting evidence objects disclosed in an embodiment of the present invention;

[0084] Figure 3 This is a flow chart of a device for intelligently collecting evidence objects disclosed in an embodiment of the present invention.

[0085] Figure 4 It is a structural schematic diagram of another device for intelligently collecting evidence objects disclosed in an embodiment of the present invention;

[0086] Figure 5 It is a structural schematic diagram of another device for intelligently collecting evidence objects disclosed in an embodiment of the present invention;

[0087] Figure 6 It is a structural schematic diagram of a power monitoring system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0088] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0089] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0090] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0091] The present invention discloses a method and device for intelligently collecting evidence objects. When a user is detected to have suspected illegal electricity usage, the location of a smart meter used to collect electricity usage data of a user and the user type of the user are obtained; according to the location of the smart meter and the user type of the user, all electric energy collection nodes that can collect electricity usage data of a user other than the smart meter are determined; the electricity usage data of a user collected by the smart meter within a certain time period are obtained, and based on each electric energy collection node, a collection operation is performed on the electricity usage data of a user within a certain time period to obtain the electricity usage data corresponding to each electric energy collection node; according to the obtained electricity usage data corresponding to the smart meter and the electricity usage data collected by all electric energy collection nodes, the evidence object of illegal electricity usage of a user is collected, and accurate and efficient collection of electricity usage behavior is achieved, thereby accurate and effective monitoring of illegal electricity usage behavior is performed. The following is a detailed description.

[0092] Embodiment 1

[0093] See also Figure 1 , Figure 1 1 is a flow chart of a method for intelligently collecting evidence objects disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to a power monitoring system that can monitor power and needs to collect evidence of illegal power usage. Figure 1 As shown, the method for intelligently collecting evidence objects may include the following operations:

[0094] 101. When it is detected that a certain user has suspected illegal electricity usage, the location of the smart meter used to collect the electricity usage data of the certain user and the user type of the certain user are obtained.

[0095] In an embodiment of the present invention, when it is detected that the increase in electricity consumption of a certain user is greater than or equal to a preset increase in electricity consumption or the decrease in electricity consumption is greater than or equal to a preset decrease in electricity consumption, or when the increase in electricity bill of a certain user is greater than or equal to a preset increase in electricity bill or the decrease in electricity bill is greater than or equal to a preset decrease in electricity bill, it is determined that a certain user has been detected to have engaged in suspicious illegal electricity usage.

[0096] In the embodiment of the present invention, the type of a certain user includes a resident type, an enterprise type, or an individual business type. Different user types may have different power collection nodes, such as: for resident type, its power collection nodes may be refrigerators, televisions, disinfection cabinets, air conditioners and other household smart Internet of Things devices; for enterprise type, its power collection nodes are computers, printers, monitors, etc.

[0097] 102. According to the location of the smart meter and the user type of a certain user, determine all power collection nodes that can collect the power consumption data of the certain user except the smart meter.

[0098] 103. Obtain the electricity consumption data of a certain user collected by the smart meter within a certain time period, and based on each power collection node, perform a collection operation on the electricity consumption data of the certain user within a certain time period to obtain the electricity consumption data corresponding to each power collection node.

[0099] In the embodiment of the present invention, a certain time period may be one week or half a month, and its end time may be the time when a suspicious illegal electricity usage behavior is detected.

[0100] 104. Based on the electricity consumption data corresponding to the acquired smart meter and the electricity consumption data collected by all power collection nodes, collect evidence objects of illegal electricity use by a certain user.

[0101] In the embodiment of the present invention, based on the acquired power consumption data corresponding to the smart meter and the power consumption data collected by all power collection nodes, the evidence object of illegal power consumption of a certain user is collected, including:

[0102] According to the electricity consumption data corresponding to the acquired smart meter, determine the electricity cost list within a certain time period, and collect the image data corresponding to the smart meter within a certain time period;

[0103] The electricity bill, image data and electricity data collected by all power collection nodes are used as evidence of a user's illegal electricity use;

[0104] In the embodiment of the present invention, the image data corresponding to the smart meter in a certain time period optionally includes the image data of each component of the smart meter in a certain time period and the regional image data of the location of the smart meter in a certain time period. Through the image data of each component of the smart meter, it is possible to know whether the circuit and other components of the smart meter have been changed, and if so, the location of the change can be clearly known; and through the regional image data, it is possible to know the personnel who have contacted the smart meter, and when illegal electricity use occurs, the target can be immediately locked to conduct an investigation of the personnel who triggered the illegal electricity use.

[0105] It can be seen that the implementation Figure 1 The method for intelligently collecting evidence objects described herein obtains the location of a smart meter used to collect electricity usage data of a certain user and the user type of a certain user when a suspected illegal electricity usage behavior of a certain user is detected; determines all electric energy collection nodes other than the smart meter that can collect electricity usage data of a certain user according to the location of the smart meter and the user type of a certain user; obtains the electricity usage data of a certain user collected by the smart meter within a certain time period, and based on each electric energy collection node, performs a collection operation on the electricity usage data of a certain user within a certain time period to obtain the electricity usage data corresponding to each electric energy collection node; collects evidence objects of illegal electricity usage of a certain user according to the obtained electricity usage data corresponding to the smart meter and the electricity usage data collected by all electric energy collection nodes, realizes accurate and efficient collection of electricity usage behavior, and thus accurately and effectively monitors illegal electricity usage behavior; and by collecting expense lists, image data and electricity usage data collected by various energy-saving collection nodes as evidence objects, it is possible to increase the richness of evidence objects, which is conducive to improving the accuracy and reliability of monitoring illegal electricity usage behavior.

[0106] In an optional embodiment, all power collection nodes include all power-consuming devices of a certain user's unit and a user terminal of a certain user, the user terminal is in communication connection with each power-consuming device of the certain user's unit, and is used to collect power consumption data of each power-consuming device and transmit the power consumption data to the power monitoring system and receive power consumption data sent by each power-consuming device and transmit the power consumption data to the power monitoring system; the method may also include the following steps:

[0107] For the same electric device, the electric consumption data collected by the electric device is compared with the electric consumption data of the user device collected by the user terminal to obtain a comparison result of the electric consumption data corresponding to the electric device;

[0108] Compare the power consumption data collected by the smart meter with the power consumption data of all power-consuming devices collected by the user terminal to obtain a first comparison result;

[0109] Comparing the electricity consumption data collected by the smart meter with the electricity consumption data of the user terminal to obtain a second comparison result;

[0110] Analyze the first comparison result and the second comparison result to obtain a third comparison result;

[0111] The power consumption data comparison results, the first comparison results, the second comparison results and the third comparison results corresponding to all power-consuming devices are updated to the evidence object of illegal power consumption by a certain user.

[0112] In this optional embodiment, the power-consuming devices in a certain user's unit are intelligent devices, all of which are in communication connection with a certain user's user terminal, and the user terminal can collect power consumption data of the power-consuming devices and can also receive power consumption data sent by the power-consuming devices. Furthermore, the user terminal stores the identification information of all power-consuming devices in a certain user's unit, and marks the collected power consumption data of the power-consuming devices and the power consumption data sent by the received power-consuming devices respectively, and when sending the power consumption data of the power-consuming devices to the power monitoring system, the corresponding identification information is also sent to the power monitoring system synchronously, which is beneficial for the power monitoring system to know the specific source of the received power-consuming devices and which power-consuming devices they correspond to, so as to further improve the accuracy of evidence collection.

[0113] It can be seen that this optional embodiment compares the electricity consumption data collected by the electricity consumption device with the electricity consumption data of the electricity consumption device collected by the user terminal, and compares the electricity consumption data of all electricity consumption devices collected by the smart meter with the electricity consumption data of the electricity consumption devices collected by the user terminal, and compares the electricity consumption data of all electricity consumption devices collected by the smart meter with the electricity consumption data received by the user terminal from all electricity consumption devices, and compares the comparison results of the two again, and finally uses the comparison results of these four as evidence objects, thereby further enriching the evidence objects, thereby further providing more sufficient and accurate evidence for illegal electricity usage, which is conducive to further improving the accuracy and reliability of supervision of illegal electricity usage and reducing the occurrence of illegal electricity usage.

[0114] Embodiment 2

[0115] See also Figure 2 , Figure 2 1 is a flow chart of a method for intelligently collecting evidence objects disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to a power monitoring system that can monitor power and needs to collect evidence of illegal power usage. Figure 2 As shown, the method for intelligently collecting evidence objects may include the following operations:

[0116] 201. When it is detected that a certain user has suspected illegal electricity usage, the location of the smart meter used to collect the electricity usage data of the certain user and the user type of the certain user are obtained.

[0117] 202. According to the location of the smart meter and the user type of a certain user, determine all power collection nodes that can collect the power consumption data of the certain user except the smart meter.

[0118] 203. Obtain the electricity consumption data of a certain user collected by the smart meter within a certain time period, and based on each power collection node, perform a collection operation on the electricity consumption data of a certain user within a certain time period to obtain the electricity consumption data corresponding to each power collection node, wherein the electricity consumption data is composed of multiple sub-electricity consumption data, and all sub-electricity consumption data include the electricity consumption, current, voltage, and power within a certain time period.

[0119] 204. For any sub-power consumption data, calculate the data sum of the sub-power consumption data collected by each power consumption device among all power consumption devices, and calculate the difference between the sub-power consumption data collected by the smart meter and the data sum of the sub-power consumption data collected by all power consumption devices.

[0120] 205. Determine the first probability of the suspected illegal electricity usage behavior based on the difference corresponding to all the sub-electricity usage data, and judge whether the first probability is greater than or equal to the preset probability threshold. When the judgment result is yes, trigger the execution of step 206. When the judgment result is no, the current process can be terminated.

[0121] In an embodiment of the present invention, optionally, the illegal electricity usage behavior coefficient corresponding to each sub-electricity usage data is determined according to its type, and the product of the illegal electricity usage behavior coefficient corresponding to each sub-electricity usage data and the corresponding difference is calculated, and then all product values ​​are added together to obtain a first probability of suspected illegal electricity usage behavior.

[0122] 206. Based on the acquired electricity usage data corresponding to the smart meter and the electricity usage data collected by all the electricity collection nodes, collect evidence objects of illegal electricity usage by a certain user.

[0123] In the embodiment of the present invention, for other descriptions of steps 201 to 203 and step 206, please refer to the detailed description of steps 101 to 104 in the first embodiment, which will not be repeated in the embodiment of the present invention.

[0124] It can be seen that the implementation Figure 2 The method for intelligently collecting evidence objects described herein obtains the location of a smart meter used to collect electricity usage data of a certain user and the user type of the certain user when it is detected that a certain user has suspected illegal electricity usage behavior; determines all electric energy collection nodes other than the smart meter that can collect electricity usage data of a certain user according to the location of the smart meter and the user type of the certain user; obtains the electricity usage data of a certain user collected by the smart meter within a certain time period, and based on each electric energy collection node, performs a collection operation on the electricity usage data of a certain user within a certain time period to obtain the electricity usage data corresponding to each electric energy collection node; collects evidence objects of illegal electricity usage of a certain user according to the obtained electricity usage data corresponding to the smart meter and the electricity usage data collected by all electric energy collection nodes, thereby realizing accurate and efficient collection of electricity usage behavior, and thus accurately and effectively monitoring illegal electricity usage behavior. In addition, by calculating the sum of the electricity consumption data of all power-consuming devices for all sub-electricity consumption data, and calculating it with the sub-electricity consumption data collected by the smart meter, the corresponding difference is obtained. The probability of suspected illegal electricity consumption behavior is calculated based on the difference of all sub-electricity consumption data, and when the probability is large, the evidence object collection operation is performed, which can improve the execution accuracy and reliability of the evidence object collection operation, and further improve the effectiveness and reliability of monitoring users' illegal electricity consumption behavior.

[0125] In an optional embodiment, the method may further include the following steps:

[0126] For any sub-power consumption data, a corresponding curve graph is generated according to the sub-power consumption data collected by each power-consuming device;

[0127] Performing a superposition operation on the curve graph corresponding to each electric device to obtain a first curve graph, and generating a corresponding second curve graph according to the sub-electricity consumption data collected by the smart meter;

[0128] For any sub-power consumption data, a first curve graph corresponding to the sub-power consumption data and a second curve graph corresponding to the sub-power consumption data are analyzed to obtain a curve graph analysis result of the sub-power consumption data;

[0129] In this optional embodiment, determining a first probability of a suspected illegal electricity usage behavior according to the differences corresponding to all the sub-electricity usage data includes:

[0130] Determine a first probability of suspected illegal electricity usage behavior according to the difference values ​​corresponding to all the sub-electricity usage data and the curve graph analysis results corresponding to all the sub-electricity usage data;

[0131] The method may further comprise the following steps:

[0132] When it is determined that the first probability is greater than or equal to the preset probability threshold, the difference between the first curve graph, the second curve graph and all the sub-power usage data is updated to the evidence object of the illegal power usage behavior of a certain user.

[0133] It can be seen that this optional embodiment, for the same sub-electricity consumption data, after generating a curve graph corresponding to each electrical device, superimposes the curve graphs of all electrical devices, and compares the superimposed curve graph with the curve graph corresponding to the smart meter to obtain the curve graph analysis result, which is then combined with the difference to comprehensively analyze the probability of suspicious illegal electricity consumption behavior, thereby further improving the accuracy and reliability of determining the probability of suspicious illegal electricity consumption behavior.

[0134] In another optional embodiment, the method may further include the following steps:

[0135] When it is determined that the first probability is less than a preset probability threshold, a device confirmation prompt is generated according to the device identifications of all devices of a certain user stored in advance, and the device confirmation prompt is fed back to a user terminal of a certain user, the device confirmation prompt includes the device identifications of all stored electrical devices and is used for the user terminal to output to a certain user to confirm whether a new device has been added to the unit of the certain user;

[0136] When receiving target feedback from the user terminal for a device confirmation prompt and the target feedback is used to indicate that a target device has been newly added to a certain user's unit and the target feedback includes a device identifier of the target device, establishing a communication connection with the target device according to the device identifier of the target device, and obtaining power consumption data collected by the target device;

[0137] Calculate the sum of the sub-power consumption data collected by each device in the device group, where the device group includes all target devices and all power consumption devices;

[0138] According to the difference corresponding to each sub-electricity usage data, the second probability of suspected illegal electricity usage is determined, and it is judged whether the second probability is greater than or equal to the preset probability threshold. When the judgment result is yes, the above-mentioned operation of collecting evidence objects of illegal electricity usage of a certain user based on the electricity usage data corresponding to the acquired smart meter and the electricity usage data collected by all electric energy collection nodes is triggered.

[0139] In this optional embodiment, when it is determined that the probability is less than a preset probability threshold, the process ends.

[0140] It can be seen that when this optional embodiment determines that the probability of suspected illegal electricity usage determined based on the difference corresponding to the sub-electricity usage data is small, it further determines whether there is a new device that has not established a communication connection with the power monitoring system. If so, the electricity usage data of the new device is further taken into consideration to recalculate the probability of suspected illegal electricity usage. This can reduce the occurrence of inaccurate calculation of the probability of suspected illegal electricity usage due to the user adding new electricity usage equipment but not taking its electricity usage data into consideration, and further improves the accuracy and reliability of judging whether the user actually has illegal electricity usage.

[0141] Embodiment 3

[0142] See also Figure 3 , Figure 3 : is a schematic diagram of a structure of a device for intelligently collecting evidence objects disclosed in an embodiment of the present invention. Figure 3 The described device can be applied to a power monitoring system capable of power monitoring and needing to collect evidence of illegal power usage, such as Figure 3 As shown, the device comprises:

[0143] The acquisition module 301 is used to acquire the location of the smart meter used to collect the electricity usage data of a certain user and the user type of the certain user when it is detected that a certain user has suspected illegal electricity usage behavior.

[0144] A determination module 302 is used to determine all power collection nodes that can collect power consumption data of a certain user except the smart meter according to the location of the smart meter and the user type of the certain user;

[0145] The acquisition module 301 is also used to acquire the electricity consumption data of a certain user collected by the smart meter within a certain time period;

[0146] The collection module 303 is used to perform a collection operation on the power consumption data of a certain user within a certain time period based on each power collection node, and obtain the power consumption data corresponding to each power collection node.

[0147] The collection module 303 is also used to collect evidence objects of illegal electricity usage of a certain user based on the electricity usage data corresponding to the acquired smart meter and the electricity usage data collected by all the electric energy collection nodes.

[0148] In the embodiment of the present invention, optionally, the acquisition module 303 acquires the evidence object of illegal electricity use of a certain user according to the acquired electricity use data corresponding to the smart meter and the electricity use data acquired by all the electric energy acquisition nodes in a specific manner including:

[0149] According to the electricity consumption data corresponding to the acquired smart meter, determine the electricity cost list within a certain time period, and collect the image data corresponding to the smart meter within a certain time period;

[0150] The electricity bill, image data and electricity data collected by all power collection nodes are used as evidence of a user's illegal electricity use;

[0151] In the embodiment of the present invention, optionally, the image data corresponding to the smart meter within a certain time period includes image data of various components of the smart electric energy meter within a certain time period and regional image data of the location of the smart meter within a certain time period.

[0152] It can be seen that the implementation Figure 3 The described device for intelligently collecting evidence objects obtains the location of the smart meter used to collect electricity usage data of a certain user and the user type of the certain user when it detects that a certain user has suspected illegal electricity usage behavior; determines all electric energy collection nodes other than the smart meter that can collect electricity usage data of a certain user according to the location of the smart meter and the user type of the certain user; obtains the electricity usage data of a certain user collected by the smart meter within a certain time period, and based on each electric energy collection node, performs a collection operation on the electricity usage data of a certain user within a certain time period to obtain the electricity usage data corresponding to each electric energy collection node; collects evidence objects of illegal electricity usage of a certain user according to the obtained electricity usage data corresponding to the smart meter and the electricity usage data collected by all electric energy collection nodes, thereby realizing accurate and efficient collection of electricity usage behavior, thereby accurately and effectively monitoring illegal electricity usage behavior.

[0153] In an optional embodiment, all power collection nodes include all power-consuming devices of a certain user's unit and a user terminal of a certain user, and the user terminal is connected to each power-consuming device of the certain user's unit and is used to collect power consumption data of each power-consuming device and transmit the power consumption data to the power monitoring system and receive power consumption data sent by each power-consuming device and transmit the power consumption data to the power monitoring system. Figure 4 As shown, Figure 4 Another device for intelligently collecting evidence objects disclosed in an embodiment of the present invention is as follows: Figure 4 As shown, the device may also include:

[0154] The comparison module 304 is used to compare the power consumption data collected by the power consumption device with the power consumption data of the user device collected by the user terminal for the same power consumption device, and obtain a comparison result of the power consumption data corresponding to the power consumption device;

[0155] The comparison module 304 is further used to compare the power consumption data collected by the smart meter with the power consumption data of all power-consuming devices collected by the user terminal to obtain a first comparison result;

[0156] The comparison module 304 is further used to compare the power consumption data collected by the smart meter with the power consumption data of the user terminal to obtain a second comparison result;

[0157] An analysis module 305 is used to analyze the first comparison result and the second comparison result to obtain a third comparison result;

[0158] The updating module 306 is used to update the power consumption data comparison results, the first comparison results, the second comparison results and the third comparison results corresponding to all power-consuming devices to the evidence object of illegal power consumption of a certain user.

[0159] It can be seen that the implementation Figure 4 The described device for intelligently collecting evidence objects can compare the electricity consumption data collected by the electric device with the electricity consumption data of the electric device collected by the user terminal, and compare the electricity consumption data of all electric devices collected by the smart meter with the electricity consumption data of the electric device collected by the user terminal, and compare the electricity consumption data of all electric devices collected by the smart meter with the electricity consumption data received by the user terminal from all electric devices, and compare the comparison results of the two again, and finally use the comparison results of these four as evidence objects, further enriching the evidence objects, thereby further providing more sufficient and accurate evidence for illegal electricity usage, which is conducive to further improving the accuracy and reliability of supervision of illegal electricity usage and reducing the occurrence of illegal electricity usage.

[0160] In another optional embodiment, the power consumption data is composed of a plurality of sub-power consumption data, and all sub-power consumption data include power consumption, current, voltage, power in a certain time period, such as Figure 4 As shown, the device also includes:

[0161] The calculation module 307 is used to calculate the sum of the sub-power consumption data collected by each power-consuming device in all power-consuming devices for any sub-power consumption data before the collection module 303 collects the evidence object of illegal power consumption of a certain user based on the power consumption data corresponding to the acquired smart meter and the power consumption data collected by all power collection nodes, and calculate the difference between the sub-power consumption data collected by the smart meter and the sum of the sub-power consumption data collected by all power-consuming devices;

[0162] The determination module 302 is further used to determine a first probability of a suspected illegal electricity usage behavior according to the differences corresponding to all the sub-electricity usage data;

[0163] The judgment module 308 is used to judge whether the first probability is greater than or equal to a preset probability threshold. When the judgment result is yes, the collection module 303 is triggered to execute the above-mentioned collection of evidence objects of illegal electricity use by a user based on the electricity consumption data corresponding to the acquired smart meter and the electricity consumption data collected by all electric energy collection nodes.

[0164] It can be seen that the implementation Figure 4 The described device for intelligently collecting evidence objects can also calculate the sum of the electricity consumption data of all electrical devices for all sub-electricity consumption data, and calculate the sum with the sub-electricity consumption data collected by the smart meter to obtain the corresponding difference. The probability of suspected illegal electricity consumption behavior is calculated based on the difference of all sub-electricity consumption data, and when the probability is large, the evidence object collection operation is performed, which can improve the execution accuracy and reliability of the evidence object collection operation, and further improve the effectiveness and reliability of monitoring users' illegal electricity consumption behavior.

[0165] In yet another optional embodiment, Figure 4 As shown, the device may also include:

[0166] A generating module 309, for generating a corresponding curve graph for any sub-power consumption data according to the sub-power consumption data collected by each power-consuming device;

[0167] A superposition module 310 is used to perform a superposition operation on the curve graph corresponding to each electrical device to obtain a first curve graph;

[0168] The generating module 309 is further used to generate a corresponding second curve graph according to the sub-power consumption data collected by the smart meter;

[0169] The determination module 302 is further used to analyze, for any sub-power consumption data, a first curve graph corresponding to the sub-power consumption data and a second curve graph corresponding to the sub-power consumption data to obtain a curve graph analysis result of the sub-power consumption data;

[0170] The specific manner in which the determination module 302 determines the first probability of the suspected illegal electricity usage behavior according to the differences corresponding to all the sub-electricity usage data includes:

[0171] Determine a first probability of suspected illegal electricity usage behavior according to the difference values ​​corresponding to all the sub-electricity usage data and the curve graph analysis results corresponding to all the sub-electricity usage data;

[0172] The determination module 302 is further configured to update the difference between the first curve graph, the second curve graph and all the sub-power usage data to the evidence object of illegal power usage of a certain user when it is determined that the first probability is greater than or equal to a preset probability threshold.

[0173] It can be seen that the implementation Figure 4 The described device for intelligently collecting evidence objects can also generate a curve graph corresponding to each electrical device for the same sub-electricity consumption data, superimpose the curve graphs of all electrical devices, and compare the superimposed curve graph with the curve graph corresponding to the smart meter to obtain the curve graph analysis result, and then compare it with the difference to comprehensively analyze the probability of suspicious illegal electricity usage behavior, thereby further improving the accuracy and reliability of determining the probability of suspicious illegal electricity usage behavior.

[0174] In yet another optional embodiment, Figure 4 As shown, the generating module 309 is further used to generate a device confirmation prompt according to the device identifications of all devices of a certain user stored in advance when it is determined that the first probability is less than a preset probability threshold;

[0175] The determination module 302 is further used to feed back a device confirmation prompt to a user terminal of a certain user, where the device confirmation prompt includes the device identifications of all stored electrical devices and is used for the user terminal to output to a certain user to confirm whether a certain user's unit has a new device;

[0176] And, if Figure 4 As shown, the device also includes:

[0177] Establishing module 311, for establishing a communication connection with the target device according to the device identification of the target device, and obtaining the power consumption data collected by the target device when receiving the target feedback of the user terminal for the device confirmation prompt and the target feedback is used to indicate that a target device has been newly added to a unit of a certain user and the target feedback includes the device identification of the target device;

[0178] The calculation module 307 is further used to calculate the sum of the sub-power consumption data collected by each device in the device group, and the device group includes all target devices and all power consumption devices;

[0179] The determination module 302 is further used to determine a second probability of a suspected illegal electricity usage behavior according to the difference corresponding to each sub-electricity usage data;

[0180] The judgment module 308 is also used to judge whether the second probability is greater than or equal to a preset probability threshold. When the judgment result is yes, the collection module 303 is triggered to execute the above-mentioned operation of collecting evidence objects of illegal electricity use of a certain user based on the electricity consumption data corresponding to the acquired smart meter and the electricity consumption data collected by all electric energy collection nodes.

[0181] It can be seen that the implementation Figure 4 The described device for intelligently collecting evidence objects can also further determine whether there is a new device that has not established a communication connection with the power monitoring system when it is judged that the probability of suspected illegal electricity usage determined based on the difference corresponding to the sub-electricity usage data is small. If so, the electricity usage data of the new device is further taken into consideration to recalculate the probability of suspected illegal electricity usage. This can reduce the occurrence of inaccurate calculation of the probability of suspected illegal electricity usage due to the user adding new electricity usage equipment but not taking its electricity usage data into consideration, and further improve the accuracy and reliability of judging whether the user actually has illegal electricity usage.

[0182] Embodiment 4

[0183] See also Figure 5 , Figure 5 It is a structural diagram of another device for intelligently collecting evidence objects disclosed in an embodiment of the present invention. The device can be applied to an electric power monitoring system that can monitor electric power and needs to collect evidence objects of illegal electricity usage; and Figure 5 The described apparatus may include:

[0184] A memory 401 storing executable program codes;

[0185] a processor 402 coupled to the memory 401;

[0186] Furthermore, it may also include an input interface 403 and an output interface 404 coupled to the processor 402;

[0187] The processor 402 calls the executable program code stored in the memory 401 to execute part or all of the steps in the method for intelligently collecting evidence objects disclosed in the first or second embodiment of the present invention.

[0188] Embodiment 5

[0189] See also Figure 6 , Figure 6 Schematic diagram of a power monitoring system disclosed in an embodiment of the present invention. Figure 6 As shown, the power monitoring system may include a device for intelligently collecting evidence objects, and is used to perform some or all of the steps in the method for intelligently collecting evidence objects described in Example 1 or Example 2. Optionally, the device for intelligently collecting evidence objects may be Figure 3-Figure 4 The embodiments of the present invention are not limited to any device for intelligently collecting evidence objects described in any one of the items.

[0190] Embodiment 5

[0191] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the method for intelligently collecting evidence objects disclosed in Embodiment 1 or Embodiment 2 of the present invention.

[0192] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0193] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, a magnetic disk storage, a magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0194] Finally, it should be noted that the method and device for intelligently collecting evidence objects disclosed in the embodiments of the present invention only disclose the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions recorded in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligently collecting evidence objects, characterized in that: The method is applied to a power monitoring system, and the method comprises: When a user is detected to have suspected illegal electricity usage, the location of the smart meter used to collect electricity usage data of the user and the user type of the user are obtained; According to the location of the smart meter and the user type of the certain user, all power collection nodes that can collect the power consumption data of the certain user except the smart meter are determined, and all the power collection nodes include all power consumption devices of the unit where the certain user is located and the user terminal of the certain user, and the user terminal is communicatively connected with each of the power consumption devices of the unit where the certain user is located, and is used to collect the power consumption data of each of the power consumption devices and transmit the power consumption data to the power monitoring system, and receive the power consumption data sent by each of the power consumption devices and transmit the power consumption data to the power monitoring system; Acquire the electricity consumption data of the certain user collected by the smart meter within a certain time period, and perform a collection operation on the electricity consumption data of the certain user within the certain time period based on each of the electric energy collection nodes to obtain the electricity consumption data corresponding to each of the electric energy collection nodes; Collect evidence objects of illegal electricity use by the user based on the acquired electricity use data corresponding to the smart meter and the electricity use data collected by all the electric energy collection nodes; The collecting of the evidence object of illegal electricity use of the user according to the acquired electricity use data corresponding to the smart meter and the electricity use data collected by all the electric energy collection nodes includes: Determine the electricity cost list within the certain time period according to the acquired electricity consumption data corresponding to the smart meter, and collect the image data corresponding to the smart meter within the certain time period; The electricity bill, the image data and the electricity data collected by all the power collection nodes are used as evidence of illegal electricity use by the user; The image data corresponding to the smart meter within the certain time period includes image data of various components of the smart meter within the certain time period and image data of the area where the smart meter is located within the certain time period.

2. The method for intelligently collecting evidence objects according to claim 1, characterized in that: The method further comprises: For the same electric device, comparing the electric consumption data collected by the electric device with the electric consumption data collected by the user terminal to obtain a comparison result of the electric consumption data corresponding to the electric device; Comparing the power consumption data collected by the smart meter with the power consumption data of all the power-consuming devices collected by the user terminal to obtain a first comparison result; Comparing the power consumption data collected by the smart meter with the power consumption data received by the user terminal from all the power-consuming devices to obtain a second comparison result; Analyze the first comparison result and the second comparison result to obtain a third comparison result; The power consumption data comparison results corresponding to all the power-consuming devices, the first comparison result, the second comparison result and the third comparison result are updated to the evidence object of illegal power consumption by the certain user.

3. The method for intelligently collecting evidence objects according to claim 1 or 2, characterized in that: The electricity consumption data is composed of a plurality of sub-electricity consumption data, and all of the sub-electricity consumption data include the amount of electricity, current, voltage, and power used in the certain time period. Before collecting the evidence object of illegal electricity use of the certain user based on the acquired electricity consumption data corresponding to the smart meter and the electricity consumption data collected by all the electric energy collection nodes, the method further includes: For any of the sub-power consumption data, calculate the data sum of the sub-power consumption data collected by each of the power consumption devices among all the power consumption devices, and calculate the difference between the sub-power consumption data collected by the smart meter and the data sum of the sub-power consumption data collected by all the power consumption devices; Determining a first probability of the suspected illegal electricity usage behavior according to differences corresponding to all the sub-electricity usage data; Determine whether the first probability is greater than or equal to a preset probability threshold. When the judgment result is yes, trigger the execution of the operation of collecting the evidence object of illegal electricity usage of the user based on the electricity usage data corresponding to the acquired smart meter and the electricity usage data collected by all the electricity collection nodes.

4. The method for intelligently collecting evidence objects according to claim 3, characterized in that: The method further comprises: For any of the sub-power consumption data, generating a corresponding curve graph according to the sub-power consumption data collected by each of the power-consuming devices; Performing a superposition operation on the curve graph corresponding to each of the electric devices to obtain a first curve graph, and generating a corresponding second curve graph according to the sub-electricity consumption data collected by the smart meter; For any of the sub-power consumption data, analyzing a first curve graph corresponding to the sub-power consumption data and a second curve graph corresponding to the sub-power consumption data to obtain a curve graph analysis result of the sub-power consumption data; The determining of the first probability of the suspected illegal electricity usage behavior according to the differences corresponding to all the sub-electricity usage data includes: Determine a first probability of the suspected illegal electricity usage behavior according to the difference values ​​corresponding to all the sub-electricity usage data and the curve graph analysis results corresponding to all the sub-electricity usage data; The method further comprises: When it is determined that the first probability is greater than or equal to a preset probability threshold, the differences between the first curve graph, the second curve graph and all the sub-power usage data are updated to the evidence object of the illegal power usage behavior of the certain user.

5. The method for intelligently collecting evidence objects according to claim 4, characterized in that: The method further comprises: When it is determined that the first probability is less than the preset probability threshold, a device confirmation prompt is generated according to the device identifications of all devices of the certain user stored in advance, and the device confirmation prompt is fed back to the user terminal of the certain user, wherein the device confirmation prompt includes the device identifications of all the stored electrical devices and is used for the user terminal to output to the certain user to confirm whether there is a new device in the unit of the certain user; When receiving target feedback from the user terminal for the device confirmation prompt and the target feedback is used to indicate that a target device has been newly added to the unit where the certain user is located and the target feedback includes a device identifier of the target device, establishing a communication connection with the target device according to the device identifier of the target device, and acquiring the power consumption data collected by the target device; Calculating the data sum of the sub-power consumption data collected by each device in a device group, wherein the device group includes all the target devices and all the power consumption devices; Based on the difference corresponding to each of the sub-electricity usage data, the second probability of the suspected illegal electricity usage behavior is determined, and it is judged whether the second probability is greater than or equal to a preset probability threshold. When the judgment result is yes, it is triggered to execute the operation of collecting the evidence object of illegal electricity usage of the user based on the electricity usage data corresponding to the acquired smart meter and the electricity usage data collected by all the electric energy collection nodes.

6. A device for intelligently collecting evidence objects, characterized in that: The device is applied to a power monitoring system, and the device comprises: An acquisition module, used for acquiring the location of a smart meter used to collect electricity usage data of a certain user and the user type of the certain user when a user is detected to have suspected illegal electricity usage behavior; A determination module, used to determine all power collection nodes other than the smart meter that can collect power consumption data of the certain user according to the location of the smart meter and the user type of the certain user, wherein all the power collection nodes include all power consumption devices of the unit where the certain user is located and the user terminal of the certain user, wherein the user terminal is communicatively connected with each power consumption device of the unit where the certain user is located, and is used to collect power consumption data of each power consumption device and transmit the power consumption data to the power monitoring system, and receive power consumption data sent by each power consumption device and transmit the power consumption data to the power monitoring system; The acquisition module is further used to acquire the electricity consumption data of the certain user collected by the smart meter within a certain time period; A collection module, configured to collect the power consumption data of the certain user within the certain time period based on each of the power collection nodes, and obtain the power consumption data corresponding to each of the power collection nodes; The acquisition module is further used to collect evidence objects of illegal electricity use by the user based on the acquired electricity consumption data corresponding to the smart meter and the electricity consumption data collected by all the electric energy acquisition nodes; The specific method of collecting the evidence object of illegal electricity use of the user by the collection module according to the acquired electricity consumption data corresponding to the smart meter and the electricity consumption data collected by all the electric energy collection nodes includes: Determine the electricity cost list within the certain time period according to the acquired electricity consumption data corresponding to the smart meter, and collect the image data corresponding to the smart meter within the certain time period; The electricity bill, the image data and the electricity data collected by all the power collection nodes are used as evidence of illegal electricity use by the user; The image data corresponding to the smart meter within the certain time period includes image data of various components of the smart meter within the certain time period and image data of the area where the smart meter is located within the certain time period.

7. A device for intelligently collecting evidence objects, characterized in that: The device is applied to a power monitoring system, and comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the method for intelligently collecting evidence objects as described in any one of claims 1-5.

8. A power monitoring system, characterized in that: The power monitoring system is used to execute the method for intelligently collecting evidence objects as described in any one of claims 1-5.

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