CN115471968A - Cable burglar alarm - Google Patents
Cable burglar alarm Download PDFInfo
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- CN115471968A CN115471968A CN202211035660.4A CN202211035660A CN115471968A CN 115471968 A CN115471968 A CN 115471968A CN 202211035660 A CN202211035660 A CN 202211035660A CN 115471968 A CN115471968 A CN 115471968A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/02—Mechanical actuation
- G08B13/14—Mechanical actuation by lifting or attempted removal of hand-portable articles
- G08B13/1445—Mechanical actuation by lifting or attempted removal of hand-portable articles with detection of interference with a cable tethering an article, e.g. alarm activated by detecting detachment of article, breaking or stretching of cable
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Abstract
The embodiment of the invention discloses a cable anti-theft alarm device, which comprises: the numerical value acquisition module is configured to acquire the tension numerical value of the cable line monitored by the tension sensor of the preset line section in real time; a threshold determination module configured to determine an error data source for a current time period, determine an error data range from the error data source, and determine a tension comparison threshold based on the error data range; the comparison module is configured to compare the tension value with the tension comparison threshold in real time; and the alarm module is configured to control the line to send a pulse signal so as to judge whether the line is abnormal or not in real time when the alarm condition is met. This scheme has solved prior art, and the cable is stolen the monitoring mode single, lacks the problem of reasonable early warning, has reduced stolen probability, can the efficient determine stolen cable position.
Description
Technical Field
The embodiment of the application relates to the technical field of cable safety, in particular to a cable anti-theft alarm device.
Background
In the existing cable device, in order to accurately determine a stolen position when the cable is stolen, a sensor is usually implanted, and when the cable is detected to be cut, the cut cable position information is immediately sent to a microcomputer host.
Specifically, for example, patent document CN103871184A relates to a cable anti-theft alarm device, which includes a wireless disconnection detector, a microcomputer host, an alarm, a mobile communication network and an upper computer, wherein the microcomputer host is connected with the wireless disconnection detector and the alarm respectively, the microcomputer host is connected with the upper computer through the mobile communication network, and the wireless disconnection detector is installed on a cable; when the wireless disconnection detector monitors that the cable is cut off, the wireless disconnection detector immediately sends the position information of the reduced cable to the microcomputer host, and the microcomputer host controls the alarm to give an alarm after receiving the information and simultaneously uploads the alarm information to the upper computer through the mobile communication network. The method can only report after the fault and cannot give an alarm in advance.
Disclosure of Invention
The embodiment of the invention provides a cable anti-theft alarm device, which solves the problems that in the prior art, a cable is stolen in a single monitoring mode and lacks reasonable early warning, reduces the probability of being stolen, and can efficiently determine the position of the stolen cable.
In a first aspect, an embodiment of the present invention provides a cable burglar alarm, including: the numerical value acquisition module is configured to acquire a tension numerical value of the cable line monitored by the tension sensor of the preset line section in real time;
a threshold determination module configured to determine an error data source for a current time period, determine an error data range from the error data source, and determine a tension comparison threshold based on the error data range;
the comparison module is configured to compare the tension value with the tension comparison threshold in real time;
and the alarm module is configured to control the line to send a pulse signal so as to judge whether the line is abnormal or not in real time when the alarm condition is met.
Optionally, the determining the error data source of the current time interval includes:
determining error factor data of the preset line section, wherein the error factor data comprises at least one of temperature, wind speed and weather parameters;
determining the error factor data as a source of error data.
Optionally, the determining a range of error data according to the error data source and determining a tension comparison threshold based on the range of error data includes:
determining a tension error interval according to the specific type and value of the error factor data, wherein when the error factor data is temperature data, the value of the corresponding error factor data is a temperature numerical value, when the error factor data is wind speed data, the wind power grade of the corresponding error factor data, and when the error factor data is a weather parameter, the corresponding error factor data comprises a weather type and a value of the corresponding weather type;
and determining a tension comparison threshold according to the tension error interval and the initial tension threshold.
Optionally, the determining the tension error interval according to the specific type and the value of the error factor data includes:
when the error factor data is a weather parameter, obtaining different weather types and tension error intervals corresponding to simulation values of the corresponding weather types in advance based on different big data test simulation, and recording the tension error intervals;
and determining the current tension error interval according to the recorded data, the actually acquired weather type and the value of the corresponding weather type.
In a second aspect, an embodiment of the present invention further provides a cable burglar alarm method, including: acquiring a tension numerical value of a cable line monitored by a tension sensor of a preset line section in real time;
determining an error data source of the current time period, determining an error data range according to the error data source, and determining a tension comparison threshold value based on the error data range;
comparing the tension value with the tension comparison threshold in real time;
when the alarm condition is met, the control circuit sends a pulse signal to judge whether the circuit is abnormal or not in real time.
Optionally, the determining the error data source of the current time interval includes:
determining error factor data of the preset line section, wherein the error factor data comprises at least one of temperature, wind speed and weather parameters;
determining the error factor data as a source of error data.
Optionally, the determining a range of error data according to the error data source and determining a tension comparison threshold based on the range of error data includes:
determining a tension error interval according to the specific type and value of the error factor data, wherein when the error factor data is temperature data, the corresponding value of the error factor data is a temperature value, when the error factor data is wind speed data, the corresponding wind power level of the error factor data, and when the error factor data is a weather parameter, the corresponding error factor data comprises a weather type and a value of the corresponding weather type;
and determining a tension comparison threshold according to the tension error interval and the initial tension threshold.
Optionally, determining a tension error interval according to the specific type and value of the error factor data includes:
when the error factor data is a weather parameter, obtaining different weather types and tension error intervals corresponding to simulation values of the corresponding weather types in advance based on different big data test simulation, and recording the tension error intervals;
and determining the current tension error interval according to the recorded data, the actually acquired weather type and the value of the corresponding weather type.
In a third aspect, an embodiment of the present invention further provides a cable burglar alarm device, where the device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement a cable burglar alarm method according to an embodiment of the present invention.
In a fourth aspect, the present invention further provides a storage medium storing computer-executable instructions, which are used to execute a cable burglar alarm method according to the present invention when executed by a computer processor.
In the embodiment of the invention, a numerical value acquisition module is configured to acquire the tension numerical value of a cable line monitored by a tension sensor of a preset line section in real time; a threshold determination module configured to determine an error data source for a current time period, determine an error data range from the error data source, and determine a tension comparison threshold based on the error data range; the comparison module is configured to compare the tension value with the tension comparison threshold in real time; and the alarm module is configured to control the line to send a pulse signal so as to judge whether the line is abnormal or not in real time when the alarm condition is met. This scheme has solved prior art, and the cable is stolen the monitoring mode single, lacks the problem of reasonable early warning, has reduced stolen probability, can the efficient determine stolen cable position.
Drawings
Fig. 1 is a flowchart of a cable burglar alarm method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another cable burglar alarm method according to an embodiment of the present invention;
fig. 3 is a block diagram of a module structure of a cable burglar alarm according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cable burglar alarm device according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and embodiments. It is to be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad invention. It should be further noted that, for convenience of description, only some structures, not all structures, relating to the embodiments of the present invention are shown in the drawings.
Fig. 1 is a flowchart of a cable burglar alarm method according to an embodiment of the present invention, as shown in fig. 1, specifically including:
and S101, acquiring a tension value of the cable line monitored in real time by a tension sensor of a preset line section.
In one embodiment, the tension sensor is a device for converting a physical signal into a measurable electric signal and outputting the measurable electric signal, and illustratively, the device uses two tension transmitting parts to transmit force, and comprises a force-sensitive device and two tension transmitting parts in a structure, wherein the force-sensitive device comprises a piezoelectric sheet and a piezoelectric sheet gasket, and the piezoelectric sheet gasket comprises a substrate part and an edge force transmitting part.
In one embodiment, a tension sensor is provided at a predetermined line section to monitor tension of the cabling. The predetermined line section may be a line section which is prone to theft failure or an important line section which needs to be secured. And uploading the tension value to a server in real time through a tension sensor implanted in the line section.
Step S102, determining an error data source of the current time period, determining an error data range according to the error data source, and determining a tension comparison threshold value based on the error data range.
In one embodiment, when the cable anti-theft alarm is carried out, an error data source of the current time period is determined, an error data range is determined according to the error data source, and a tension comparison threshold value is determined based on the error data range. Specifically, it may be: determining error factor data of the preset line section, wherein the error factor data comprises at least one of temperature, wind speed and weather parameters, and determining the error factor data as an error data source. Different error data sources can cause errors of tension values in different degrees, and finally, the threshold value is influenced by comparison, and error conditions need to be introduced.
Optionally, when determining the alignment threshold, the method includes: determining a tension error interval according to the specific type and value of the error factor data, wherein when the error factor data is temperature data, the value of the corresponding error factor data is a temperature numerical value, when the error factor data is wind speed data, the wind power grade of the corresponding error factor data, and when the error factor data is a weather parameter, the corresponding error factor data comprises a weather type and a value of the corresponding weather type; and determining a tension comparison threshold according to the tension error interval and the initial tension threshold. For example, assuming that the initial tension threshold is x and the tension error interval is y1 to y2, the tension ratio is changed to x + (y 2+ y 1)/2. The tension error interval can simulate the conditions of error data sources under different conditions through actual test simulation conditions, and is calibrated in a test mode.
And S103, comparing the tension value with the tension comparison threshold in real time, and controlling the line to send a pulse signal to judge whether the line is abnormal or not in real time when the alarm condition is met.
In one embodiment, after the tension comparison threshold is determined, the tension value is compared with the tension comparison threshold in real time, and if the tension value is greater than the tension comparison threshold, it is determined that an alarm condition is met. At the moment, a pulse signal is sent through the control line to judge whether the line is abnormal or not in real time. Optionally, the line includes a pulse sending device and a pulse receiving device, and the detection of the pulse signal is performed through sending and receiving of the pulse signal, so as to determine whether the line is abnormal in real time.
According to the method, the tension value of the cable line monitored in real time by the tension sensor of the preset line section is obtained; determining an error data source of the current time period, determining an error data range according to the error data source, and determining a tension comparison threshold value based on the error data range; comparing the tension value with the tension comparison threshold in real time; when satisfying alarm condition, control line sends pulse signal and whether appears unusually with real-time judgement circuit, has solved prior art, and the cable is stolen the monitoring mode singleness, lacks the problem of reasonable early warning, has reduced stolen probability, can the efficient determine stolen cable position.
Fig. 2 is a flowchart of another cable burglar alarm method according to an embodiment of the present invention, as shown in fig. 2, specifically including:
step S201, obtaining a tension value of a cable line monitored by a tension sensor of a preset line section in real time, determining error factor data of the preset line section, wherein the error factor data comprises at least one of temperature, wind speed and weather parameters, and determining the error factor data as an error data source.
Step S202, when the error factor data are weather parameters, obtaining tension error intervals corresponding to different weather types and simulation values corresponding to the weather types based on different big data test simulation in advance, recording the tension error intervals, determining the current tension error interval according to the recorded data, actually obtained weather types and values corresponding to the weather types, wherein when the error factor data are temperature data, the values corresponding to the error factor data are temperature values, when the error factor data are wind speed data, the wind power grades of the corresponding error factor data, when the error factor data are weather parameters, the corresponding error factor data comprise the values corresponding to the weather types, and determining a tension comparison threshold according to the tension error intervals and the initial tension threshold.
And S203, comparing the tension value with the tension comparison threshold in real time, and controlling the line to send a pulse signal to judge whether the line is abnormal or not in real time when the alarm condition is met.
According to the method, the tension value of the cable line monitored in real time by the tension sensor of the preset line section is obtained; determining an error data source of the current time period, determining an error data range according to the error data source, and determining a tension comparison threshold value based on the error data range; comparing the tension value with the tension comparison threshold in real time; when satisfying alarm condition, control line sends pulse signal and whether appears unusually with real-time judgement circuit, has solved prior art, and the cable is stolen the monitoring mode singleness, lacks the problem of reasonable early warning, has reduced stolen probability, can the efficient determine stolen cable position.
Fig. 3 is a block diagram of a module structure of a cable burglar alarm device according to an embodiment of the present invention, where the smart cable is used to execute a cable burglar alarm method according to the foregoing embodiment, and has corresponding functional modules and beneficial effects of the execution method. As shown in fig. 3, the apparatus specifically includes: the numerical value acquisition module 101 is configured to acquire a tension numerical value of the cable line monitored by the tension sensor of the preset line section in real time;
a threshold determination module 102 configured to determine an error data source for a current time period, determine an error data range from the error data source, and determine a pull force comparison threshold based on the error data range;
a comparison module 103 configured to compare the tension value with the tension comparison threshold in real time;
and the alarm module 104 is configured to control the line to send a pulse signal to judge whether the line is abnormal in real time when the alarm condition is met.
According to the scheme, the numerical value acquisition module is configured to acquire the tension numerical value of the cable line monitored by the tension sensor of the preset line section in real time; a threshold determination module configured to determine an error data source for a current time period, determine an error data range from the error data source, and determine a tension comparison threshold based on the error data range; the comparison module is configured to compare the tension value with the tension comparison threshold in real time; and the alarm module is configured to control the line to send a pulse signal so as to judge whether the line is abnormal or not in real time when the alarm condition is met. This scheme has solved prior art, and the cable is stolen the monitoring mode singleness, lacks the problem of reasonable early warning, has reduced stolen probability, can the efficient determine stolen cable position.
In one possible embodiment, the determining the error data source for the current time period includes:
determining error factor data of the preset line section, wherein the error factor data comprises at least one of temperature, wind speed and weather parameters;
determining the error factor data as a source of error data.
In one possible embodiment, the determining a range of error data from the error data source and determining a tension ratio threshold based on the range of error data comprises:
determining a tension error interval according to the specific type and value of the error factor data, wherein when the error factor data is temperature data, the value of the corresponding error factor data is a temperature numerical value, when the error factor data is wind speed data, the wind power grade of the corresponding error factor data, and when the error factor data is a weather parameter, the corresponding error factor data comprises a weather type and a value of the corresponding weather type;
and determining a tension comparison threshold according to the tension error interval and the initial tension threshold.
In a possible embodiment, the determining the tension error interval according to the specific type and value of the error factor data includes:
when the error factor data is a weather parameter, obtaining different weather types and tension error intervals corresponding to simulation values of the corresponding weather types in advance based on different big data test simulation, and recording the tension error intervals;
and determining a current tension error interval according to the recorded data, the actually obtained weather type and the value of the corresponding weather type.
Fig. 4 is a schematic structural diagram of a cable burglar alarm apparatus according to an embodiment of the present invention, as shown in fig. 4, the apparatus includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of the processors 201 in the device may be one or more, and one processor 201 is taken as an example in fig. 4; the processor 201, the memory 202, the input device 203 and the output device 204 in the apparatus may be connected by a bus or other means, for example in fig. 4. The memory 202 is used as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to a cable burglar alarm method according to an embodiment of the present invention. The processor 201 executes various functional applications and data processing of the device by executing software programs, instructions and modules stored in the memory 202, so as to implement the cable burglar alarm method. The input device 203 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the apparatus. The output device 204 may include a display device such as a display screen.
Embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a cable burglar alarm method, the method comprising: acquiring a tension numerical value of a cable line monitored by a tension sensor of a preset line section in real time;
determining an error data source of the current time period, determining an error data range according to the error data source, and determining a tension comparison threshold value based on the error data range;
comparing the tension value with the tension comparison threshold in real time;
when the alarm condition is met, the control circuit sends a pulse signal to judge whether the circuit is abnormal or not in real time.
Wherein the determining the error data source for the current time period comprises:
determining error factor data of the preset line section, wherein the error factor data comprises at least one of temperature, wind speed and weather parameters;
determining the error factor data as a source of error data.
Wherein determining an error data range from the error data source and determining a tension comparison threshold based on the error data range comprises:
determining a tension error interval according to the specific type and value of the error factor data, wherein when the error factor data is temperature data, the value of the corresponding error factor data is a temperature numerical value, when the error factor data is wind speed data, the wind power grade of the corresponding error factor data, and when the error factor data is a weather parameter, the corresponding error factor data comprises a weather type and a value of the corresponding weather type;
and determining a tension comparison threshold according to the tension error interval and the initial tension threshold.
Wherein, the determining of the tension error interval according to the specific type and value of the error factor data comprises:
when the error factor data is a weather parameter, obtaining different weather types and tension error intervals corresponding to simulation values of the corresponding weather types in advance based on different big data test simulation, and recording the tension error intervals;
and determining the current tension error interval according to the recorded data, the actually acquired weather type and the value of the corresponding weather type.
It should be noted that, in the embodiment of the cable burglar alarm device, the included units and modules are only divided according to the functional logic, but not limited to the above division, as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
It should be noted that the foregoing is only a preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will appreciate that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention have been described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and many other equivalent embodiments may be included without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.
Claims (10)
1. Cable burglar alarm, its characterized in that includes:
the numerical value acquisition module is configured to acquire a tension numerical value of the cable line monitored by the tension sensor of the preset line section in real time;
a threshold determination module configured to determine an error data source for a current time period, determine an error data range from the error data source, and determine a tension comparison threshold based on the error data range;
the comparison module is configured to compare the tension value with the tension comparison threshold in real time;
and the alarm module is configured to control the line to send a pulse signal so as to judge whether the line is abnormal or not in real time when the alarm condition is met.
2. The cable burglar alarm arrangement according to claim 1, wherein said determining a source of error data for a current time period comprises:
determining error factor data of the preset line section, wherein the error factor data comprises at least one of temperature, wind speed and weather parameters;
determining the error factor data as a source of error data.
3. The cable burglar alarm arrangement according to claim 2, wherein said determining an error data range from said error data source and determining a tension ratio threshold based on said error data range comprises:
determining a tension error interval according to the specific type and value of the error factor data, wherein when the error factor data is temperature data, the value of the corresponding error factor data is a temperature numerical value, when the error factor data is wind speed data, the wind power grade of the corresponding error factor data, and when the error factor data is a weather parameter, the corresponding error factor data comprises a weather type and a value of the corresponding weather type;
and determining a tension comparison threshold according to the tension error interval and the initial tension threshold.
4. The cable burglar alarm arrangement according to claim 3, wherein said determining a tension error interval according to a specific type and value of said error factor data comprises:
when the error factor data is a weather parameter, obtaining different weather types and tension error intervals corresponding to simulation values of the corresponding weather types in advance based on different big data test simulation, and recording the tension error intervals;
and determining the current tension error interval according to the recorded data, the actually acquired weather type and the value of the corresponding weather type.
5. The cable anti-theft alarm method is characterized by comprising the following steps:
acquiring a tension numerical value of a cable line monitored by a tension sensor of a preset line section in real time;
determining an error data source of the current time period, determining an error data range according to the error data source, and determining a tension comparison threshold value based on the error data range;
comparing the tension value with the tension comparison threshold in real time;
when the alarm condition is met, the control circuit sends a pulse signal to judge whether the circuit is abnormal or not in real time.
6. The cable burglar alarm method according to claim 5, wherein said determining a source of error data for a current time period comprises:
determining error factor data of the preset line section, wherein the error factor data comprises at least one of temperature, wind speed and weather parameters;
determining the error factor data as an error data source.
7. The cable burglar alarm method according to claim 6, wherein said determining an error data range from said error data source and determining a pull force comparison threshold based on said error data range comprises:
determining a tension error interval according to the specific type and value of the error factor data, wherein when the error factor data is temperature data, the corresponding value of the error factor data is a temperature value, when the error factor data is wind speed data, the corresponding wind power level of the error factor data, and when the error factor data is a weather parameter, the corresponding error factor data comprises a weather type and a value of the corresponding weather type;
and determining a tension comparison threshold according to the tension error interval and the initial tension threshold.
8. The cable burglar alarm method according to claim 7, wherein said determining a tension error interval according to a specific type and value of said error factor data comprises:
when the error factor data is a weather parameter, obtaining different weather types and tension error intervals corresponding to simulation values of the corresponding weather types in advance based on different big data test simulation, and recording the tension error intervals;
and determining the current tension error interval according to the recorded data, the actually acquired weather type and the value of the corresponding weather type.
9. A cable burglar alarm arrangement, said arrangement comprising: one or more processors; storage means for storing one or more programs which, when executed by said one or more processors, cause said one or more processors to implement a cable burglar alarm method according to any of claims 5-8.
10. A storage medium storing computer executable instructions for performing a cable burglar alarm method of any of claims 5-8 when executed by a computer processor.
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|---|---|---|---|
| CN202211035660.4A CN115471968A (en) | 2022-08-26 | 2022-08-26 | Cable burglar alarm |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211035660.4A CN115471968A (en) | 2022-08-26 | 2022-08-26 | Cable burglar alarm |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117872258A (en) * | 2024-03-12 | 2024-04-12 | 国网甘肃省电力公司武威供电公司 | Electric power data acquisition system and method |
| CN117872258B (en) * | 2024-03-12 | 2024-05-24 | 国网甘肃省电力公司武威供电公司 | Electric power data acquisition system and method |
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2022
- 2022-08-26 CN CN202211035660.4A patent/CN115471968A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117872258A (en) * | 2024-03-12 | 2024-04-12 | 国网甘肃省电力公司武威供电公司 | Electric power data acquisition system and method |
| CN117872258B (en) * | 2024-03-12 | 2024-05-24 | 国网甘肃省电力公司武威供电公司 | Electric power data acquisition system and method |
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